2024年第12期共收录50篇

1. Accurate Inversion of Rice Chlorophyll Content by Integrating Multispectral and Texture Features Derived from UAV Multispectral Imagery

Accession number: 20245217600944

Title of translation: 基于无人机多光谱植被指数与纹理特征的水稻叶绿素含量反演

Authors: Zhu, Qingzhen (1); Zhu, Yanqiu (1); Wang, Aichen (1); Zhang, Liyuan (1)

Author affiliation: (1) School of Agricultural Engineering, Jiang.su Universitj, Zhenjiang; 212013, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 287-293

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The emerging unmanned aerial vehicle (UAV) remote sensing technology has gradually become a popul?r approach to achieve precise management of field crops. Some researches have been conducted on high spatiotemporal resolution, low-cost and accurate monitoring of crop growth. However, there is relatively little research about the estimation of rice leaf green content by integrating UAV multispectral Vegetation index and texture features. UAV multispectral remote sensing images and ground measured Chlorophyll content of rice were collected during tillering, flowering, and filling growth stages. A total of 50 features, 15 Vegetation indices and 35 texture features, were calculated from multispectral images. The max-relevance and min-redundancy (mRMR) algorithm was applied to screen ten Vegetation indices and ten texture features from these features. Three modeling strategies were adopted, namely based solely on Vegetation indices, based solely on texture features, and based on the combination of Vegetation indices and texture features. Four regression modeling algorithms, including artificial neural network (ANN), random forest (RF), support vector machine (SVM), and multiple linear regression (MLR), were used to establish the rice Chlorophyll content estimation models. The results showed that both the Vegetation indices and texture features were highly correlated with the rice Chlorophyll content. Among them, the NGBDI index and the B_M texture feature had the highest correlation, with Pearson coefficients of 0. 77 and 0. 73, respectively. The fusion of Vegetation indices and texture features can effectively improve the estimation accuracy of rice Chlorophyll content. Compared with the ANN model based on Vegetation indices, the R was improved by 0.08 when adding texture features to the models. Among the four regression algorithms, the artifieial neural network had the best regression estimation accuracy with R of 0. 72 and RMSE of 1. 52. Therefore, the fusion of Vegetation indices and texture features derived from UAV multispectral images can accurately estimate rice Chlorophyll content, providing Information support for the refined management of rice in the field. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 37

Main heading: Vegetation

Controlled terms: Agricultural robots  -  Image enhancement  -  Image texture  -  More electric aircraft  -  Multiple linear regression  -  Support vector regression  -  Time difference of arrival  -  Unmanned aerial vehicles (UAV)

Uncontrolled terms: Aerial vehicle  -  Chlorophyll contents  -  Inversion  -  Multi-spectral  -  Multispectral images  -  Neural-networks  -  Rice  -  Texture features  -  Unmanned aerial vehicle multispectral image  -  Vegetation index

Classification code: 103   -  1101.2   -  1106.3.1   -  1202   -  652.1 Aircraft, General  -  652.1.1 Commercial Aircraft  -  716.1 Information Theory and Signal Processing  -  731.6 Robot Applications  -  821 Agricultural Equipment and Methods; Vegetation and Pest Control  -  821.2 Agricultural Chemicals

DOI: 10.6041/j.issn.1000-1298.2024.12.027

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

2. General Model Building and Experiment on Traction Performance Prediction Based on APSO Algorithm

Accession number: 20245217600955

Title of translation: 基于APSO算法的拖拉机牵引性能预测通用模型建立与试验

Authors: Zhao, Jinghui (1, 2); Zhao, Tenglong (1, 2); Xu, Liyou (1, 2); Li, Yanying (1, 2); Zhang, Jingyun (1, 2); Liu, Yonghong (3); Sun, Li (3)

Author affiliation: (1) College of Vehicle and Traffic Engineering, Henan University qf Science and Technology, Luoyang; 471003, China; (2) State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang; 471039, China; (3) Cama (Luoyang) Electromechanic Co., Ltd., Luoyang; 471003, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 519-529

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problems of poor generality and low prediction accuracy of existing models for traction Performance of wheeled tractors, a set of general model for traction Performance prediction of four-wheel drive and two-wheel drive tractors was proposed, which covered the whole process of System modeling, prediction optimization and case verification. By analyzing the interaction of many physical fields such as soil mechanics, tire mechanics and transmission System, the tractor traction Performance was abstracted into four basic models, namely wheel - soil model, driving force model, slip rate model and tractive force model, in order to establish a general model for the whole machine traction Performance prediction of four-wheel drive and two-wheel drive tractors. In order to improve the prediction accuracy, the traction Performance prediction optimization algorithm based on adaptive particle swarm optimization (APSO) was established with the overall machine slip rate as the optimization objective. Through on-line optimization, the accuracy and universality of the model were verified. In order to further verify its superiority and engineering practicability, a 105 kW tractor of YTO was used as a test prototype to complete the offline test in the whole field test site. The experimental results showed that compared with the existing prediction models, the error of slip rate and rolling resistance of the APSO-based prediction method was 1.9% and 0. 18 kN, respectively. For two-wheel drive tractors, the corresponding errors were 2. 7% and 0. 25 kN, respectively, and the accuracy was greatly improved. The general model of traction Performance prediction for four-wheel drive and two-wheel drive tractors was studied, which had certain research significance in the fields of traction control and Performance of wheeled tractors. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Tractors (truck)

Controlled terms: All wheel drive vehicles  -  Prediction models  -  Rolling resistance  -  Soil testing  -  Traction control  -  Tractors (agricultural)  -  Vehicle wheels

Uncontrolled terms: Adaptive particle swarm optimization algorithm  -  Four-wheel drive tractor  -  Four-wheel drives  -  General model  -  Performance prediction  -  Prediction modelling  -  Traction performance  -  Tractive performance  -  Two-wheel drive tractor  -  Two-wheel-drive

Classification code: 1101   -  1502.1.1.4.3   -  212.3   -  483.1 Soils and Soil Mechanics  -  601.2 Machine Components  -  662.1 Automobiles  -  663.1 Heavy Duty Motor Vehicles  -  731.2 Control System Applications  -  821.2 Agricultural Chemicals

Numerical data indexing: Force 1.80E+04N, Force 2.50E+04N, Percentage 1.90E+00%, Percentage 7.00E+00%, Power 1.05E+05W

DOI: 10.6041/j.issn.1000-1298.2024.12.049

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

3. Design and Experiment of Vertical Screw-feeding Cultivator-hiller for Sugarcane in Wide and Narrow Planung Mode

Accession number: 20245217600980

Title of translation: 立式螺旋送土甘蔗宽窄行中耕培土机设计与试验

Authors: Wu, Tao (1); Luo, Xiaowei (1); Jiang, Jiaoli (2); Liu, Qingting (1); Zou, Xiaoping (1); Huang, Junjie (1)

Author affiliation: (1) College of Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) Guangdong Agricultural Technology Extension Center, Guangzhou; 530104, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 71-80

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The quality of intertillage and ridging Operations in sugarcane has a significant impact on promoting the growth of sugarcane plants, lodging resistance and increasing yield. Traditional sugarcane intertillage ridges with equal row spacing have poor ridging effects on sugarcane planted in the wide-narrow row pattern, which is prone to causing the “ volcano mouth” phenomenon in the narrow-row sugarcane ridges. In response to the above problems, a vertical screw-feeding culticator-hiller for sugarcane in wide-narrow row was designed; according to the ridging agronomic requirements under the wide-narrow row planting pattern, the structure of key components and the r?nge of Operation parameters were determined through theoretical calculations; in the context of using EDEM Software, the test factors included the rotary tillage depth, screw-feeding device rotation speed, and travel speed, with the ridging height and Operation power consumption as the test indicators. The Simulation results showed that the rotary tillage depth, screw-feeding machine rotation speed, and travel speed had significant effects on the ridging height and Operation power consumption; when the travel speed was 4 km/h, the interaction between the rotary tillage depth and the screw-feeding device rotation speed did not significantly affect either the ridging height or the Operation power consumption. The optimal Operation parameters obtained were as follows: the rotary tillage depth was 274 mm and the screw-feeding device rotation speed was 245 r/min. Through field tests of the prototype, the accuracy and reliability of the Simulation results were verified. The field Performance test results were as follows: the average ridging height was 134.4 mm, the qualified rate of ridging height was 100%, the sugaroane injury rate was 5%, the weeding rate was 90%, and the narrow rows of canes formed a turtlebaek ridge at the base after cultivation, without crater shape, which met the ridging Operation requirements under the wide-narrow row planting pattern. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 15

Main heading: Screws

Controlled terms: Agricultural robots  -  Shims  -  Sugar cane

Uncontrolled terms: Discrete elements method  -  Eultivator-hille  -  Feeding devices  -  Narrow lines  -  Rotary tillages  -  Rotation speed  -  Sugarcane  -  Travel speed  -  Vertieal screw-feeding device  -  Wide and narrow line

Classification code: 601.2 Machine Components  -  605.2 Small Tools, Unpowered  -  731.6 Robot Applications  -  821.2 Agricultural Chemicals  -  821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 4.0915E+00rad/s, Percentage 1.00E+02%, Percentage 5.00E+00%, Percentage 9.00E+01%, Size 1.344E-01m, Size 2.74E-01m, Size 4.00E+03m

DOI: 10.6041/j.issn.1000-1298.2024.12.006

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

4. Citrus Yield Estimation by Integrating UAV Imagery and Machine Learning

Accession number: 20245217600935

Title of translation: 基于无人机影像与机器学习的柑橘产量估测研究

Authors: Wu, Lifeng (1); Xu, Wenhao (1); Pei, Qingbao (1)

Author affiliation: (1) School of Soll and Water Conservation, Nanchang Institute of Technology, Nanchang; 330099, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 294-305

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to acourately and rapidly predict citrus yield to precisely guide orchard production management, remote sensing image data of citrus fruit ripening stage was obtained by DJI multispectral Version of UAV, and visible and multispectral band indices were extracted as feature variables from the images. The eXtreme gradient boosting (XGB), random forest (RF) and support vector machine (SVM) model were used to construct citrus fruit presence and absence Classification model, fruit number and quality estimation model, respectively. The results showed that the excess red index was the most important in the Classification of citrus fruit presence and absence while the modified excess green index was the most important in the estimation of number and quality through the Screening analysis of feature variables by the XGB model. All three models in combination modeling had better accuracy in combination 4. For the Classification model, the optimal model was the SVM model with AUC of 0. 969 and accuracy of 0. 919. While the XGB model was the best model for estimating both number and quality, with the number estimation model’s R value being 0. 79 and RMSE being 466, and the quality estimation model’s R value being 0.79 and RMSE being 19.51 kg. Finally, the Shapley additive explanations (SHAP) method was utilized to reveal the importance of Vegetation index features in the construction of the yield estimation model and to elucidate the interaction effects of the features with the top four SHAP values. The research results can provide an application reference and theoretical basis for the research of UAV remote sensing in citrus yield. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 55

Main heading: Fruits

Controlled terms: Adaptive boosting  -  Information management  -  Orchards  -  Quality control  -  Support vector machines

Uncontrolled terms: Citrus yield  -  Classification models  -  Estimation models  -  Feature variable  -  Machine-learning  -  Multi-spectral  -  Shapley  -  Shapley additive explanation  -  Support vector machine models  -  Yield estimation

Classification code: 1101.2   -  1106   -  821.4 Agricultural Products  -  821.5 Agricultural Wastes  -  903 Information Science  -  913.3 Quality Assurance and Control

Numerical data indexing: Mass 1.951E+01kg

DOI: 10.6041/j.issn.1000-1298.2024.12.028

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

5. Infrared Performance Monitoring System of Belt-type High-speed Seed Guide Device for High-speed Precision Seeder

Accession number: 20245217600937

Title of translation: 高速精量播种机带式高速导种装置导种性能红外监测系统研究

Authors: Wang, Song (1); Yi, Shujuan (1); Zhao, Bin (1, 2); Li, Yifei (1, 3); Wang, Guangyu (1); Sun, Wensheng (1)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) Heilongjiang Provincial Key Laboratory of Intelligent Agricultural Machinery Equipment, Daqing; 163319, China; (3) College of Engineering, Northeast Agricultural University, Harbin; 150030, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 160-168

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem that the existing seed performance monitoring method is not available for the belt-type high-speed seed guide device, and the seed belt carrier and seed particle cannot be distinguished during the seed casting process, making seed performance difficult to monitor, a monitoring method and system for a belt device based on infrared sensors was studied and designed. The two-sided pulse comparison method was proposed, and the hardware circuit and software process of the monitoring module for the belt-type high-speed guide device were independently designed. At the same time, a belt-speed device monitoring algorithm ( bilateral pulse value analysis and energy masking smoothing algorithm, BPV - EMSA) was developed. It reduced the noise and random fluctuations of the original pulse, made the data smoother and more stable, and highlighted the main trends and patterns of the data, while suppressed transient pulse interference and improved the data interpretability and analysis accuracy. The accuracy test results of the monitoring system showed that the monitoring accuracy of the designed belt-type high-speed seed guide device monitoring system was above 95. 9% at different operating speeds, with the highest accuracy of 97. 65% and the lowest of 95. 99% , proving that the system can accurately collect the pulse changes of seed particles through the monitoring point. The results of performance evaluation test of monitoring system showed that the average monitoring error of seeding qualification rate was 2. 00 percentage points, the average monitoring error of seeding missed seeding rate was 1.45 percentage points, and the average monitoring error of seeding reseeding rate was 0.56 percentage points. The relative error of seeding pass rate was not more than 2. 23 percentage points, the relative error of seeding missed seeding rate was not more than 1. 78 percentage points, and the relative error of seeding reseeding rate was not more than 1. 00 percentage points. This monitoring method can accurately monitor the seed guide performance of the belt type high-speed seed guide device. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Infrared devices

Controlled terms: Belt conveyors  -  Belts  -  Precision casting

Uncontrolled terms: Belt-type high-speed seed guide device  -  Guide device  -  High Speed  -  High-speed precision seeder  -  Infra-red sensor  -  Infrared sensor  -  Performance-monitoring  -  Row performance monitoring  -  Signal processing algorithms

Classification code: 201.4.2   -  601.2 Machine Components  -  602.2 Mechanical Transmissions  -  692.1 Conveyors  -  741.3 Optical Devices and Systems

Numerical data indexing: Percentage 6.50E+01%, Percentage 9.00E+00%, Percentage 9.90E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.014

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

6. Belt-type High-speed Seed Guide Device Control System Based on FSMC Kaiman

Accession number: 20245217600964

Title of translation: 基于FSMC-Kalman的带式高速导种装置控制系统研究

Authors: Wang, Song (1); Yi, Shujuan (1); Zhao, Bin (1, 2); Li, Yifei (1, 3); Wang, Guangyu (1); Li, Shuaifei (1); Sun, Wensheng (1)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agrieultural University, Daqing; 163319, China; (2) Heilongjiang Provincial Key Laboratory of Intelligent Agrieultural Machinery Equipment, Daqing; 163319, China; (3) College of Engineering, Northeast Agrieultural University, Harbin; 150030, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 169-179 and 332

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of low synchronization rate and poor stability of the speed of the driving motor and the belt high-speed guide device, which results in the increase of seeding distance coeffieient and poor sowing uniformity, a control System of belt high-speed guide device based on fuzzy sliding mode control— Kaiman (FSMC — Kaiman) algorithm was studied. Through the analysis of the System movement process, the relationship between the train and guide motors and the Operation speed was established to establish the mathematical model of the two motors. The proposed FSMC — Kaiman algorithm used the approximation coeffieient and rate coeffieient in the fuzzy algorithm, and added the Kaiman filter algorithm in the feedback link, so as to enhance the robustness and adaptability of the control System. The Simulation test showed that the speed of guide motor based on FSMC — Kaiman algorithm had no overshoot, the adjustment time was 0. 22 s, and the steady State error was 4. 68 r/min; the speed of type motor based on FSMC — Kaiman algorithm had no overshoot, the adjustment time was 0. 23 s, and the steady State error was 1. 96 r/min. The bench test showed that the average qualified plant spacing coeffieient of Variation of the four Operation speeds of FSMC — Kaiman algorithm was 7. 98%. The FSMC — Kaiman algorithm reduced the average coeffieient of Variation by 4. 67 percentage points, which was 3. 36 pereentage points lower than that of the FSMC algorithm, and 2.06 percentage points lower than the average coefficient of Variation of the SMC — Kaiman algorithm. The eontrol System of belt high-speed guide device based on FSMC — Kaiman can make the guide motor and the seed type drive motor work stably with high synchronization rate, thus improving the sowing uniformity. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Sliding mode control

Controlled terms: Belt drives  -  Feedback  -  Fuzzy filters  -  Fuzzy inference  -  Guides (mechanical)  -  Kalman filters  -  Robust control  -  Robustness (control systems)  -  Traction motors

Uncontrolled terms: Belt-type high-speed seed guide device  -  Eontrol system  -  Fuzzy algorithms  -  Fuzzy sliding mode control  -  Fuzzy-sliding mode controls  -  Guide device  -  High Speed  -  Kaiman filter  -  SMC  -  Synchronization rate

Classification code: 1101   -  601 Mechanical Design  -  602.2 Mechanical Transmissions  -  705.3 Electric Motors  -  716.1 Information Theory and Signal Processing  -  731 Automatic Control Principles and Applications  -  731.1 Control Systems

Numerical data indexing: Angular velocity 1.1356E+00rad/s, Angular velocity 1.6032E+00rad/s, Percentage 9.80E+01%, Time 2.20E+01s, Time 2.30E+01s

DOI: 10.6041/j.issn.1000-1298.2024.12.015

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

7. Load Pressure Prediction Model for Sugarcane Harvester Base-cutting System

Accession number: 20245217600968

Title of translation: 甘蔗收获机根部切割系统负载压力预测模型研究

Authors: Ma, Fanglan (1); Luo, Yiming (1); Li, Jiacheng (1); Miao, Jinze (1); Ye, Fengzi (1); Chen, Bin (1)

Author affiliation: (1) College of Mechanical Engineering, Guangxi University, Nanjing; 530004, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 81-89

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming to enhance the applicability and accuracy of the cutting depth control system for sugarcane harvesters, a load pressure prediction model was established to address the problem that the current reference pressure setting could not be automatically adjusted according to soil parameters and locomotive parameters. The relationship between the load pressure and the cutting depth into the soil, the feeding volume, the soil moisture content and the soil firmness was collected by orthogonal test methods, and the test data were used as the training samples and test samples of the load pressure prediction model. Based on the training samples, load pressure prediction models using extreme learning machine (ELM) and ELM based on sparrow search algorithm optimization ( SSA - ELM) were established. Performance of the prediction model was evaluated by the test samples, and the results showed that compared with the ELM model, the mean absolute error, mean relative error and root-mean-square error of the SSA - ELM prediction model were reduced by 50. 00% , 44. 14% and 44. 44% under the yellow soil condition, and reduced by 58. 33% , 56. 98% and 57. 14% under red soil conditions. To verify the applicability of the load pressure prediction model in actual harvesting processes, various working conditions encountered in the cane field were simulated on the test platform, and the prediction model was applied to the existing control system for testing. The results showed that the prediction model met the setting requirements of the reference pressure when the cutting depth into the soil was 20 mm, the operating speed was 0. 34 m/s, and the rotational speed of the cutter disc was 700 r/min, and the maximum error between the cutting depth and the target depth was no more than 5 mm, which met the actual requirements of sugarcane harvesting production. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Soil testing

Controlled terms: Harvesters  -  Model predictive control  -  Prediction models  -  Sugar cane

Uncontrolled terms: Extreme learning machine  -  Learning machines  -  Load pressure  -  Prediction modelling  -  Predictive models  -  Pressure predictions  -  Search Algorithms  -  Sparrow search algorithm  -  Sugarcane harvesters  -  Under-the-ground base-cutting

Classification code: 1101   -  1201.7   -  1502.1.1.4.3   -  483.1 Soils and Soil Mechanics  -  731.1 Control Systems  -  821.2 Agricultural Chemicals  -  821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 1.169E+01rad/s, Percentage 0.00E00%, Percentage 1.40E+01%, Percentage 3.30E+01%, Percentage 4.40E+01%, Percentage 9.80E+01%, Size 2.00E-02m, Size 5.00E-03m, Velocity 3.40E+01m/s

DOI: 10.6041/j.issn.1000-1298.2024.12.007

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

8. Design and Experiment of Point Tracking Automatic Sampling Control System for Farmland Soil Sampling Vehicle

Accession number: 20245217600990

Title of translation: 农田土壤采样车点跟踪自动取土控制系统设计与试验

Authors: Luo, Chengming (1, 2); Zhu, Xingyu (1); Wang, Ning (1); Xie, Yongjin (1); Zhong, Jing (1); Xia, Junfang (1, 2)

Author affiliation: (1) College of Engineering, Huazhong Agrieultural Univerdty, Wuhan; 430070, China; (2) Key Laboratory of Agrieultural Equipment in Mid-lower Yangtze River, Ministry of Agrieulture and Rural Affairs, Wuhan; 430070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 180-190

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To tackle the problems in current farmland soil sampling Operation, ineluding high labor demand, poor sampling accuracy, low automation level etc., a farmland soil sampling vehicle with its automatic Operation control System was designed based on an electric drive tracked chassis. The structure components, working principle and control System scheme were elaborated. The control strategy for the sampling vehicle Operation process was designed based on the finite State machine method. To realize the goal of performing soil sampling at a series of target points in the field automatically, a continuous point tracking process was designed, and the point tracking model for the sampling vehicle was established. A point tracking control algorithm was developed based on the method of vector field. From the on-line Performance test results, the point tracking algorithm designed based on vector field method had good deviation correction ability. When the initial lateral deviation was 2 m and the initial heading deviation was 0°, the on-line time consumed by the sampling vehicle at 0. 3 m/s, 0. 6 m/s and 0. 9 m/s were 15.7 s, 11. 8 s and 11.9 s, respectively, and the on-line distance travelled by the sampling vehicle at 0. 3 m/s, 0. 6 m/s and 0. 9 m/s were 4. 72 m, 7. 10 m and 10. 74 m, respectively. From the continuous point tracking test results, when the Operation speed of the sampling vehicle was set at 0. 3 m/s, 0. 6 m/s and 0. 9 m/s, the maximum absolute lateral deviations with respect to the reference path were 0. 081 m, 0. 107 m and 0. 210 m, respectively, the mean absolute lateral deviations were 0. 018 m, 0. 022 m and 0. 050 m, respectively, the Standard deviations were 0. 026 m, 0. 027 m and 0. 064 m, respectively, and the mean absolute distance errors of the sampling vehicle with respeet to the target points were 0. 068 m, 0.081 m and 0. 141 m, respectively. The Performance test of the soil sampling device revealed that its mechanisms could work smoothly together, the consumed time at different locations for the same sampling depth was consistent, and the coefficient Variation of sample masses was small. The sampling vehicle could realize accurate continuous point tracking to a series of target points under the control of designed control process and point tracking algorithm, which permitted that the requirements for automatic farmland soil sampling could be met. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Controlled terms: Agricultural robots  -  Invariance  -  Leaf springs  -  Magnetic couplings  -  Root loci  -  Vector control (Electric machinery)

Uncontrolled terms: Farmland soils  -  Lateral deviation  -  Point tracking control  -  Point-tracking  -  Soil sampling  -  Soil sampling vehicle  -  Target point  -  Tracked chassi  -  Tracking controls  -  Vector fields

Classification code: 601.1 Mechanical Devices  -  601.2 Machine Components  -  705.1 Electric Machinery, General  -  731 Automatic Control Principles and Applications  -  731.1 Control Systems  -  731.6 Robot Applications  -  821.2 Agricultural Chemicals

Numerical data indexing: Size 1.00E+01m, Size 1.07E+02m, Size 1.41E+02m, Size 1.80E+01m, Size 2.00E+00m, Size 2.10E+02m, Size 2.20E+01m, Size 2.60E+01m, Size 2.70E+01m, Size 5.00E+01m, Size 6.40E+01m, Size 6.80E+01m, Size 7.20E+01m, Size 7.40E+01m, Size 8.10E+01m, Size 8.10E-02m, Time 1.19E+01s, Time 1.57E+01s, Time 8.00E+00s, Velocity 3.00E+00m/s, Velocity 6.00E+00m/s, Velocity 9.00E+00m/s

DOI: 10.6041/j.issn.1000-1298.2024.12.016

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

9. Identification of Rapeseed Seedling Number Based on YC YOLO v7 Model

Accession number: 20245217600977

Title of translation: 基于YC-YOLO v7模型的油菜幼苗株数识别方法

Authors: Li, Zhaodong (1, 2); Zhang, Yanfang (1); Wang, Yunhong (1); Zhao, Qianhua (1); Liu, Lichao (1, 2); Zhang, Tian (1, 2); Chen, Yongxin (1, 2)

Author affiliation: (1) School of Engineering, Anhui Agrieultural Vniversity, Hefei; 230036, China; (2) Anhui Provineial Engineering Research Center of Intelligent Agrieultural Machinery, Hefei; 230036, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 322-332

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to problems such as different graphics, densely distributed, and difficult to identify in the field environment, the study of the number of rapeseed seedlings based on the YC — YOLO v7 algorithm was carried out. Introduce the depth-separated convolutional module in the ELAN of the original model YOLO v7 to improve the extraetion ability of the model on small features. By adding the CBAM attention mechanism module to the feature layer Output by the main network, the model of the model’s identification of small targets is enhanced. Replace the loss function CIOU to WIOU, which improves the quality of the anchor frame. In order to expand the model of the model for the goal, the SPPF space pyramid structure was constructed. The test results show that the average accuracy of the improved YC — YOLO v7 model was 94. 0%, the accuracy was 89. 8%, the recall rate was 91. 2%, the reasoning speed increased by 16. 1 f/s, and the floating-point Computing volume was reduced by 2. 56 x 10. Compared with the other phase model YOLO v5s, SSD, and second-stage model Faster R — CNN, the average accuracy increased by 12. 8 percentage points, 17. 8 percentage points, and 20. 3 percentage points, respectively. The improved YC - YOLO v7 model was deployed to the PC, and an oilseed rape seedling detection and identification System was constructed using the PYQT5 framework, with the average accuracy of the System detection being greater than 90%, which can provide technical support for the accurate counting of oilseed rape seedlings in the field environment, and provide effective support for the farmers to judge the quality of the breeding and the effect of sowing. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Controlled terms: Feature extraction  -  Object detection  -  Object recognition  -  Oilseeds

Uncontrolled terms: Attention mechanisms  -  Model identification  -  Objects detection  -  Oil seed rape  -  Original model  -  Percentage points  -  Plant identification  -  Rape seedling  -  Small features  -  YOLO v7

Classification code: 1101.2   -  1106.3.1   -  1106.8   -  821.5 Agricultural Wastes

Numerical data indexing: Percentage 0.00E00%, Percentage 2.00E+00%, Percentage 8.00E+00%, Percentage 9.00E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.031

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

10. Aerodynamic Characteristics and Parameter Optimization of Sugarcane Chopper Harvester Extractor Impeller on Transverse

Accession number: 20245217600969

Title of translation: 横置式甘蔗收获机排杂风机叶轮气动特性分析与参数优化

Authors: Li, Weiqing (1); Ma, Shaochun (1, 2); Li, Wenzhi (1); Zhou, Baocheng (1); Huo, Peng (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Sanya Institute of China Agricultural University, Sanya; 572025, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 90-99 and 109

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The extraotor is one of the core components of the sugarcane chopper harvester, and its Performance plays a vital role in the impurity rate of the sugarcane harvester, while the impeller is the core component of the extractor, and its aerodynamic characteristics is closely related to the effect of the exhaust. Aiming at the problem of insufficient optimization of the Performance of the impeller of the miscellaneous fan of the sugarcane harvester, which affects the miscellaneous effect, taking the impeller of the miscellaneous fan of the transverse sugarcane harvester as the object, and the influences of the type of hub, mounting angle of the impeller ?, number of the impeller Nb, dimensionless area of the impeller G, angle of the impeller y on the aerodynamic characteristics of the fan and its mechanism were researched. With the objective of increasing the füll pressure of the fan, the best impeller structure Parameters were obtained by the response surface optimization method, which were the blade mounting angle of 23.34°, the impeller dimensionless area of 0.43 and the blade angle of 14.56°. Field experiments were conducted at different fan speeds (1 050 r/min, 1 350 r/min and 1 650 r/min), different cane growth conditions (good, poor and severe collapse) and different traveling speeds (1 km/h, 2 km/h and 3 km/h). The results showed that for sugarcane with good growth, the optimized turbines reduced the impurity rate by 1. 06, 1. 99 and 3. 28 percentage points at different driving speeds when the turbine rotational speed was 1 050 r/min; when the turbine rotational speed was 1 350 r/min, the optimized turbines reduced the impurity rate by 2. 5 percentage points at most; when the turbine rotational speed was increased to 1 650 r/min, the optimized fan did not show obvious differences in the impurity rate at each driving speed; for the sugarcane with poor growth and serious collapse, the optimized fan could reduce the impurity rate by up to 5. 45 and 2. 1 percentage points, respectively. The optimized fan improved the ability of the sugarcane harvester to remove impurities in complex field environments, and the obtained data can provide theoretical support for subsequent fan research. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 21

Main heading: Impellers

Controlled terms: Dynamic programming  -  Energy efficiency  -  Linear programming  -  Mountings  -  Nonlinear programming  -  Turbine components  -  Turbomachine blades

Uncontrolled terms: Aerodynamic characteristics  -  Core components  -  Extractor  -  Full pressure  -  Impurity rates  -  Parameter optimization  -  Percentage points  -  Performance  -  Rotational speed  -  Sugarcane harvesters

Classification code: 1007   -  1007.1   -  1009   -  1201.7   -  601.2 Machine Components  -  609.2

Numerical data indexing: Angular velocity 1.0855E+01rad/s, Angular velocity 5.845E+00rad/s, Angular velocity 8.35E-01rad/s, Size 1.00E+03m, Size 2.00E+03m, Size 3.00E+03m

DOI: 10.6041/j.issn.1000-1298.2024.12.008

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

11. Method for Locating Missing Ratoon Sugarcane Seedlings Based on RGB Images from Unmanned Aerial Vehicles and Improve YOLO v5s

Accession number: 20245217600948

Title of translation: 基于无人机RGB图像与改进YOLO v5s的宿根蔗缺苗定位方法

Authors: Li, Shangping (1, 2); Zheng, Chuangrui (1, 2); Wen, Chunming (1, 2); Li, Kaihua (1, 2)

Author affiliation: (1) College of Electronic Information, Guangxi Minzu University, Nanjing; 530006, China; (2) Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Nanjing; 530006, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 57-70

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to the lack of specific missing seedling data for the transverse replanting machine of pre-cut double bud sugarcane segments, resulting in poor replanting efficiency, a method for locating missing ratoon sugarcane seedlings based on UAV RGB images was proposed. Firstly, high-resolution images of ratoon sugarcane seedlings in the field were rapidly captured by using UAVs, which were then segmented into multiple sub-images and subjected to data augmentation to construct a dataset. Secondly, enhancements to the YOLO v5s model involved the introduction of P2 small target feature layers and DyHead modules to improve the detection accuracy of small seedling targets. Additionally, an image weighting strategy was employed during training to address sample imbalance issues and further improve detection accuracy, especially for occluded seedlings. Subsequently, a framework incorporating sliced -assisted inference facilitated the detection of ratoon sugarcane seedlings in large-scale field images by using the trained model. Finally, a row recognition algorithm based on an improved DBSCAN clustering algorithm and PC A fitting algorithm was developed to locate missing seedling positions along crop rows. Experimental results demonstrated that the improved ratoon sugarcane seedling detection model achieved an average detection accuracy of 96. 8% on sub-images and recognition precision and recall rates of 94. 5% and 91. 8% , respectively, on large-scale images, with a detection time of 0. 32 s. Utilizing the detection coordinates, the row recognition algorithm achieved 100% clustering accuracy, with an average angular error of 0. 245 5° for fitted row angles, and precision and recall rates of 91. 9% and 97. 1% , respectively, for missing seedling detection along rows. This method can be applied to intelligent missing seedling localization in large-scale, complex field images of ratoon sugarcane, providing technical support for replanting operations and holding significant implications for extending ratoon lifespan and increasing sugarcane yield. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Image enhancement

Controlled terms: Fruits  -  Image segmentation  -  Scales (weighing instruments)  -  Seed  -  Sugar cane

Uncontrolled terms: Crop rows detection  -  DBSCAN  -  Detection accuracy  -  Large-scales  -  Localisation  -  Missing seedling localization  -  Ratoon sugarcane seedling  -  RGB images  -  UAV RGB image  -  YOLO v5s

Classification code: 1106.3.1   -  821.5 Agricultural Wastes  -  942.1.7

Numerical data indexing: Percentage 1.00E+02%, Percentage 1.00E00%, Percentage 5.00E+00%, Percentage 8.00E+00%, Percentage 9.00E+00%, Time 3.20E+01s

DOI: 10.6041/j.issn.1000-1298.2024.12.005

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

12. Method for Measuring Heading Angle of Agricultural Machinery Based on Two-position Method and Improved STEKF

Accession number: 20245317608712

Title of translation: 基于两位置法与改进STEKF的农机航向角测量方法

Authors: He, Jie (1, 2); Wei, Zhenghui (1); Hu, Lian (1, 3); Wang, Pei (1, 3); Huang, Peikui (1, 3); Ding, Shuaiqi (1)

Author affiliation: (1) College of Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) Huangpu Innovation Research Institute, South China Agricultural University, Guangzhou; 510700, China; (3) Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou; 510642, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 365-372

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To solve the problems of low accuracy in heading measurement for single-antenna GNSS agricultural machinery navigation System at low speed and the difficulty of starting up, research on agricultural machinery heading measurement technology was conducted based on two-position method and improved STEKF. A suitable heading measurement method for GNSS/IMU fusion in single-antenna agricultural machinery was designed. The heading of high-speed agricultural machinery was measured by the two-position method, and the heading of low-speed agricultural machinery was measured by the improved STEKF algorithm based on the 9-axis data Output by the IMU and the position and speed Information Output by the GNSS. A one-dimensional Kaiman filter fusion method based on the two-position method and the improved STEKF heading was designed. The M — 1204 tractor produced by Lovol was used as the experimental platform to verify the heading measurement accuracy and stability under speed gradient change conditions. The results showed that during the process of starting up from a stationary State and traversing mixed routes containing straight lines and curves at a speed of 0. 36 km/h to 5. 40 km/h, the heading angle obtained by the proposed fusion heading measurement method was within 0. 5° of the heading angle obtained by the dual-antenna GNSS, indicating that the proposed method was suitable for stable heading acquisition of agricultural machinery in the State of starting up and low-speed movement, which improved the precision and stability of single-antenna agricultural machinery navigation and low-speed driving control and provided technical basis for high-precision agricultural machinery autonomous unmanned Operation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Global positioning system

Controlled terms: Agricultural robots  -  Automatic guidance (agricultural machinery)  -  Tachometers  -  Tractors (agricultural)

Uncontrolled terms: Data output  -  Heading angles  -  Heading measurement  -  High Speed  -  Improved STEKF  -  Low speed  -  Measurement methods  -  Measurement technologies  -  Single antenna  -  Two position method

Classification code: 435.1   -  731.6 Robot Applications  -  821.2 Agricultural Chemicals  -  942.1.7

Numerical data indexing: Size 3.60E+04m, Size 4.00E+04m

DOI: 10.6041/j.issn.1000-1298.2024.12.035

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

13. Few-shot Crop Disease Recognition Based on Progressive Learning and Enhanced Prototype Metrie

Accession number: 20250117619760

Title of translation: 基于渐进式学习和增强原型度量的小样本农作物病害识别方法

Authors: Du, Haishun (1, 2); An, Wenhao (1); Zhang, Chunhai (1, 2); Zhou, Yi (1, 2)

Author affiliation: (1) School of Artificial Intelligence, Henan University, Zhengzhou; 450046, China; (2) International Joint Laboratory for Cooperative Vehieular Networks of Henan, Zhengzhou; 450046, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 344-353

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: At present, crop disease recognition is mostly realized based on convolutional neural network. However, due to the lack of training data in actual agricultural produetion, these crop disease recognition methods based on convolutional neural network often have limited applications and perform poorly. In Order to carry out the low-cost, general and flexible crop disease recognition, a few-shot crop disease recognition network based on progressive learning and enhanced prototype metric was proposed. Specifically, an enhanced prototype metric module was firstly designed to compute the enhanced prototype that can accurately represent the category center, and make füll use of its rieh category Information to recognize the crop disease. Then, a progressive learning strategy was designed to train the model to help it better adapt to the crop disease recognition, and further improve the few-shot crop disease recognition aecuraey. On the self-made few-shot crop disease datasets FSCD — Base, FSCD — Complex and the cross-domain setting from FSCD — Base to FSCD — Complex, the 5 — way 1 — shot average recognition aecuraey of the FPE — Net reached 70. 65%, 53. 47% and 49. 58%, and the 5 — way 5 — shot average recognition aecuraey of the FPE — Net reached 83. 02%, 66. 15% and 64. 21%, respectively. These experimental results showed that the FPE — Net was significantly better than other few-shot crop disease recognition models, which can recognize crop diseases more accurately when the training data was insufficient. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Convolutional neural networks

Controlled terms: Zero-shot learning

Uncontrolled terms: Convolutional neural network  -  Crop disease  -  Disease recognition  -  Enhanced prototype metric  -  Few-shot learning  -  Learning strategy  -  Progressive learning  -  Progressive learning strategy  -  Recognition methods  -  Training data

Classification code: 1101.2   -  1101.2.1

Numerical data indexing: Percentage 1.50E+01%, Percentage 2.00E+00%, Percentage 2.10E+01%, Percentage 4.70E+01%, Percentage 5.80E+01%, Percentage 6.50E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.033

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

14. Apple Leaf Spot Segmentation Model Based on Consistency Semi-supervised Learning

Accession number: 20245317614397

Title of translation: 基于一致性半监督学习的苹果叶片病斑分割模型研究

Authors: Ding, Yongjun (1); Yang, Wentao (1); Zhao, Yilong (1)

Author affiliation: (1) College of Computer Science and Engineering, Northwest Normal University, Lanzhou; 730070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 314-321

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Rapid and accurate lesion segmentation was essential for assessing disease severity and ensuring precise pesticide application. Deep learning-based semantic segmentation offered the technical foundation necessary for developing high-precision disease detection models. However, the annotation of apple leaf spots was both time-consuming and labor-intensive. To address this issue, a model for apple leaf spot segmentation was proposed based on a lightweight consistency semi-supervised learning framework, using Longdong apples as the research subject. Firstly, following the Mean Teacher semi-supervised learning framework, two lightweight DeepLabV3 + models were utilized to build the lesion semantic segmentation model, which improved its ability to extract feature descriptors from limited annotated data. Secondly, a systematic comparison of 19 consistency regularization methods revealed that the combination of MSE and Huber was more sensitive to subtle image differences and exhibited higher noise resistance, thereby improving the model’s adaptability to small, unevenly distributed, and blurred-edge lesions. Next, a Bayesian algorithm was utilized to optimize six hyperparameters involved in the model, which accelerated convergence speed and enhanced stability. The results demonstrated that the optimized model, using only 30% of the annotated data, achieved a precision of 95.60% , a mean intersection over union ( mloU ) of 94. 85% , and a mean pixel accuracy ( mPA ) of 96. 50% . These outcomes surpassed those of fully supervised and self-training semi-supervised learning frameworks. The findings offered agricultural practitioners an efficient and reliable tool for disease detection. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Fruits

Controlled terms: Adaptive boosting  -  Deep learning  -  Image annotation  -  Self-supervised learning  -  Semantic Segmentation  -  Semi-supervised learning

Uncontrolled terms: Apple disease  -  Bayesian optimization  -  Consistency regularization  -  Deeplabv3 +  -  Disease spot segmentation  -  Leaf spots  -  Learning frameworks  -  Regularisation  -  Semi-supervised learning  -  Spot segmentation

Classification code: 1101.2   -  1101.2.1   -  1106   -  1106.3.1   -  1106.8   -  821.5 Agricultural Wastes

Numerical data indexing: Percentage 3.00E+01%, Percentage 5.00E+01%, Percentage 8.50E+01%, Percentage 9.56E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.030

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

15. Fuzzy Control Strategy for Path Tracking - Tillage Depth of Unmanned Electric Tractor Ploughing Unit

Accession number: 20250117619288

Title of translation: 无人驾驶电动拖拉机犁耕机组路径跟踪与耕深模糊控制策略研究

Authors: Chen, Zhongju (1, 2); Xie, Bin (1, 2); Luo, Zhenhao (1, 2); Liu, Kaidong (1, 2); Zhang, Shengli (3); Wen, Changkai (2, 4)

Author affiliation: (1) College of Engineering, China Agrieultural University, Beijing; 100083, China; (2) State Key Laboratory of Intelligent Agrieultural Power Equipment, Beijing; 100083, China; (3) Product Planning and Automotive New Technology Research Institute of BYD Co., Ltd., Shenzhen; 518122, China; (4) Intelligent Equipment Research Center, Beijing Academy of Agriculture and Forestry Science, Beijing; 100097, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 491-504

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Variable specific resistance of field soil and unevenness of the plot cause the tractor driving speed and traction resistance to fluctuate greatly under the ploughing condition, and the traditional unmanned tractor Operation System is difficult to meet the agronomic requirements of path tracking accuracy and ploughing depth uniformity. The Operation characteristics of unmanned electric tractor ploughing unit were systematically analyzed, and a fuzzy control strategy for tractor ploughing unit path tracking and ploughing depth was proposed, including the fuzzy Stanley path tracking control method and the predictive compensation variable-domain fuzzy PID ploughing depth control method, which took into account the ploughing depth and driving speed under the ploughing condition of the tractor with heavy loads, and improved the ploughing depth uniformity and the straightness of unmanned System of electro-hydraulic Suspension. In order to verify the effectiveness of the proposed control strategy, a test platform for the ploughing unit of unmanned electric tractor was set up to carry out field path tracking and ploughing tests. The test results showed that the control strategy proposed can adapt to the complex and variable field environment, the maximum lateral deviation of the path tracking Operation was no more than 0. 042 m, and the Standard deviation of lateral deviation of ploughing Operation was no more than 0. 086 m; the mean value of the driving speed remained stable, with an average absolute error of 0. 16 km/h and an average relative error of 4. 38%; the mean value of the coefficient of Variation of ploughing depth was 9. 29%, which was 14. 29% lower than that of the fuzzy PID algorithm. A control strategy proposed can enhance the ploughing depth uniformity and navigation linearity of tractor ploughing Operation on the basis of different soil specific resistance, the degree of concavity and convexity of the plot, and the magnitude of traction resistance, with excellent adaptability and robustness to satisfy the agronomic requirements of tractor ploughing Operation, which provided a reference for the implementation of the multi-parameter control of the unmanned electric tractor. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Fuzzy control

Controlled terms: Agricultural robots  -  Automobile suspensions  -  Fertilizers  -  Soil testing  -  Tractors (agricultural)  -  Tractors (truck)

Uncontrolled terms: Autonomous driving  -  Control strategies  -  Driving speed  -  Electric tractors  -  Electro-hydraulic suspension  -  Electro-hydraulics  -  Fuzzy control strategy  -  Path tracking  -  Plowing operation  -  Specific resistances

Classification code: 1502.1.1.3   -  1502.1.1.4.3   -  483.1 Soils and Soil Mechanics  -  662.3 Automobile and Smaller Vehicle Materials  -  663.1 Heavy Duty Motor Vehicles  -  731 Automatic Control Principles and Applications  -  731.6 Robot Applications  -  821.2 Agricultural Chemicals  -  821.3 Agricultural Methods

Numerical data indexing: Percentage 2.90E+01%, Percentage 3.80E+01%, Size 1.60E+04m, Size 4.20E+01m, Size 8.60E+01m

DOI: 10.6041/j.issn.1000-1298.2024.12.047

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

16. Adaptive Illumination Enhanced Monocular Vision SLAM Algorithm for Mobile Robots Based on Convolutional Neural Networks

Accession number: 20250117630462

Title of translation: 基于卷积神经网络的移动机器人自适应光照增强单目视觉SLAM算法

Authors: Chen, Jiupeng (1); Chen, Zhifan (1); San, Hongjun (1, 2); Zhao, Longyun (1); Peng, Zhen (1)

Author affiliation: (1) Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming; 650500, China; (2) Key Laboratory of Advanced Equipment Intelligent Manufacturing Technology of Yunman Province, Kunming; 650500, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 383-391 and 403

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The visual SLAM technology of mobile robots can estimate their position in the environment in real time under certain conditions, and build and update sparse or dense 3D maps of the environment. This information can help robots improve their accurate perception and adaptability to unknown complex environments, and perform more complex tasks. However, the accuracy and stability of localization and mapping of visual SLAM using cameras as sensors largely depend on the quality of the collected images. In low-light environments, existing visual SLAM algorithms have difficulty working effectively. In response to the problems of reduced positioning accuracy and lost tracking faced by visual SLAM in low-light environments, a visual SLAM algorithm suitable for low-light environments, RLMV — SLAM was proposed. This algorithm used a lightweight neural network to preprocess the input images, enhancing their brightness, contrast, color, and denoising. At the same time, the algorithm applied a map point Supplement strategy, Sparse BA, and a real-time incremental loop closure detection method to improve the accuracy and robustness of localization and mapping. The research experimentally verified this algorithm on public datasets and self-collected datasets, and compared it with other mainstream visual SLAM methods. The results showed that the method proposed can increase the effective tracking time in low-light environments by more than 30% and significantly reduce the pose error of pose estimation on public datasets, proving the effectiveness of the proposed algorithm and providing a reference for simultaneous localization and mapping in low-light environments. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 35

Main heading: Mapping

Controlled terms: Convolutional neural networks  -  Image enhancement  -  Laser beams  -  Mobile robots  -  SLAM robotics

Uncontrolled terms: Convolutional neural network  -  Light environment  -  Localization and mappings  -  Low light  -  Low-light environment  -  Monocular vision  -  Public dataset  -  Real- time  -  SLAM algorithm  -  Visual SLAM

Classification code: 1101.2.1   -  1106.3.1   -  405.3 Surveying  -  731.5 Robotics  -  744.5 Free Electron Lasers

Numerical data indexing: Percentage 3.00E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.037

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

17. EWT Inversion Model of Summer Maize Based on Spatial Scale Optimization of Spectral and Texture Information

Accession number: 20250117620886

Title of translation: 基于光谱和纹理信息空间尺度优化的夏玉米冠层EWT反演模型

Authors: Chen, Hong (1); Wang, Yakun (1); Yao, Yifei (1); Dai, Qin (1); Chen, Ziqiang (1); Liu, Chang (1); Li, Gaoliang (1); Hu, Xiaotao (1)

Author affiliation: (1) Key Laboratory of Agricultural Soil and Water Engineering in Arid Areas, Ministry of Education, Northwest A&F University, Shaanxi, Yangling; 712100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 257-267

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of large canopy equivalent water thickness (EWT) Inversion error caused by spatial heterogeneity, taking four maize fields with large growth differences as the research object, EWT data of six key growth nodes was eollected, and UAV multispectral remote sensing technology was used to obtain orthophoto images in the field, and the spectral and texture Information of different window space sizes (0. 1 m X 0. 1 m to 2. 0 m X 2. 0 m) of remote sensing images in the form of sliding windows was extracted, and after multicollinearity testing, principal component analysis (PCA) was used to reduce the dimensionality of spectral parameters (S), texture parameters (T) and eombinatorial parameters (S + T), respectively, and then the EWT inversion model was constructed by partial least Squares (PLS), random forest (RF) and support vector machine (SVM), respectively, and then the accuracy of the model was tested by Kruskal — Wallis, and the choice of optimal window size was discussed according to the results of multiple tests. The results showed that with the gradual increase of the window space scale, the accuracy of the EWT inversion model was increased firstly and then decreased. The accuracy of the model constructed with the S + T as the input variable was significantly better than that of the S and the T, and the adjusted R-square (Radi) of the optimal window size of the model based on PLS, RF and SVM was increased by 0. 16, 0.05 and 0. 12, respeetively, and the relative root mean Square error (RRMSE) was decreased by 4. 95%, 1. 17% and 3. 80%, respeetively. The results showed that it was feasible to use texture features to improve the inversion aecuraey of EWT model. Comprehensively eomparing the nine sets of models construeted by different modeling methods, the optimal sampling window spatial size was finally determined to be 0. 7 m xO. 7 m, with Ra?- up to 0. 82 (eorresponding RRMSE of 16. 57%). The research result can provide a referenee for Information mining and EWT monitoring based on UAV multi-spectral image analysis. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 48

Main heading: Mean square error

Controlled terms: Agricultural robots  -  Deforestation  -  Grain (agricultural product)  -  Image enhancement  -  Image reconstruction  -  Image texture  -  Photointerpretation  -  Photomapping  -  Screws  -  Support vector machines   -  Tropics

Uncontrolled terms: Equivalent water thickness  -  Equivalent water thiekness  -  Inversion models  -  Maehine learning  -  Maize  -  Multispeetral remote sensing  -  Remote-sensing  -  Spatial seale  -  Spectral information  -  Textural feature

Classification code: 1101.2   -  1106.3.1   -  1202.2   -  405.3 Surveying  -  443 Meteorology  -  605.2 Small Tools, Unpowered  -  731.6 Robot Applications  -  742.1 Photography  -  821.1 Agricultural Machinery and Equipment  -  821.2 Agricultural Chemicals  -  821.5 Agricultural Wastes

Numerical data indexing: Percentage 1.70E+01%, Percentage 5.70E+01%, Percentage 8.00E+01%, Percentage 9.50E+01%, Size 0.00E00m, Size 1.00E00m, Size 1.00E00m to 2.00E+00m, Size 7.00E+00m

DOI: 10.6041/j.issn.1000-1298.2024.12.024

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

18. Analysis of Browning Factors in Low-alcohol Zaosu Pear Wine and lts Effect on Volatile Aroma Compounds

Accession number: 20250117642374

Title of translation: 低醇早酥梨酒褐变因子分析及其对挥发性香气化合物的影响研究

Authors: Zhang, Xu (1); Yuan, Qian (1); Li, Jiaxin (1); Yu, Baihan (1); Yang, Xueshan (1); Zhu, Xia (1)

Author affiliation: (1) College of Food Science and Engineering, Gansu Agricultural University, Lanzhou; 730070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 201-231

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The low-alcohol Zaosu pear wine was prepared and stored at 4°C and 25°C for 60 days respectively to investigate the changes in browning factors and volatile aroma compounds. The activity of polyphenol oxidase, peroxidase and phenylalanine ammonia lyase, and the content of total amino acids, reducing sugar, total phenols, 5-hydroxymethylfurfural as well as the browning degree were measured every seven days during the storage of wine samples. The volatile aroma compounds in pear wine were detected at the end of storage by using SPME — GC/MS. Results showed that the POD activity of Zaosu pear wine was rapidly decreased and the content of total amino acids and polyphenols was reduced by 62% ~70% and 23% ~31%, respectively. Meanwhile, 5-hydroxymethylfurfural content and browning degree were constantly increased during the storage of pear wine. The evolutions of total amino acids, polyphenol, 5 -hydroxymethylfurfural and browning degree were perfectly fitted to the zero order kinetic equation. Correlation analysis showed that total amino acids, polyphenols and 5-hydroxymethylfurfural had a significant impact on the browning of pear wine. The content of terpenes, esters and carbonyl compounds was increased, while the level of higher alcohol and volatile fatty acids was significantly decreased in wine samples after 60 days of storage. The correlation coefficients between 15 key aroma compounds (OAV >0. 1) and the main browning factors were greater than 0. 8. The research results had potential application value for controlling the browning of Zaosu pear wine. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 48

Main heading: Wine

Controlled terms: Ammonia  -  Carbonyl compounds  -  Esters  -  Fatty acid methyl ester  -  Fatty acids  -  Methyl ester  -  Phenols  -  Terpenes

Uncontrolled terms: 5 hydroxymethyl furfurals  -  Dynamic model fitting  -  Dynamics models  -  Low-alcohol zaosu pear wine  -  Lower alcohols  -  Model fitting  -  Non-enzymatic browning  -  Polyphenols  -  Total amino acids  -  Volatile aroma compounds

Classification code: 804.1 Organic Compounds  -  804.2 Inorganic Compounds  -  822.3 Food Products

Numerical data indexing: Age 1.644E-01yr, Percentage 2.30E+01%, Percentage 3.10E+01%, Percentage 6.20E+01%, Percentage 7.00E+01%, Temperature 2.77E+02K, Temperature 2.98E+02K

DOI: 10.6041/j.issn.1000-1298.2024.12.043

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

19. Research of Rotary Sorting System for Chestnuts Based on Visible/Near-infrared Spectroscopy

Accession number: 20250117620884

Title of translation: 转盘式板栗可见/近红外光谱检测分选系统研究

Authors: Jiang, Hongzhe (1); Tan, Feng (1); Li, Xingpeng (1); Wang, Dachen (1); Jiang, Xuesong (1); Zhou, Hongping (1)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing; 210037, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 462-469

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: There is a certain demand to carry out the on-site rapid and non-destructive detection and sorting of typical woody grain, i. e. chestnuts. Based on visible/near-infrared spectroscopy and analysis technology, a rotary chestnut online detection and sorting System was developed. This System mainly consisted of a feeding unit, a spectral acquisition unit, a control unit, a sorting unit, and a display unit. The experiment of Vibration disk in the feeding unit determined that 150 Hz was the optimal frequency, and a servo motor was connected to drive the disk. The halogen lamps were used as light sources and a micro-spectrometer was used to collect spectral Information in the spectral acquisition unit. After comparison, a parallel control plan was determined in the control unit. Based on the QT platform and C++ language, a microcontroller program was developed. The program combined with the developed spectral acquisition Software for the upper Computer was used to achieve the collection, processing, display, storage, and discrimination of spectral information. The electromagnetic push rod was applied to drive the expansion and contraction of the baffle to complete the opening and closing of the hole. Chestnuts from Qianxi, Dandong, and Yuxi were selected as experimental samples, spectra were collected and spectral preprocessing methods were applied to establish partial least Squares discriminant analysis (PLS _ DA) models for comparison. The PLS _ DA models for geographical origins and mildew discrimination were developed, respectively. The correct Classification accuracy of the model for geographical origins in prediction set was 97. 12%, and it was 94. 74% of the model for mildew discrimination. The optimal detection and sorting efficiency was to process 37 samples per minute by this device. Finally, the models were individually implanted into the System Software, and random prediction sets of chestnuts were used for tests. The correct Classification accuracies of the models for geographical origins and mildew discrimination achieved 93. 83% and 94. 12%, respectively. The results indicated that the designed rotary detection and sorting System and device presented high efficiency, stable collection, and high detection accuracy. It was feasible to quickly achieve the goal of non-destructive detection and sorting of chestnuts from different geographical origins and mildew or not. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: C++ (programming language)

Controlled terms: Calcium chloride  -  Computer debugging  -  Laser beams  -  Near infrared spectroscopy  -  Potassium chloride  -  Problem oriented languages  -  Servomotors  -  Surface cleaning

Uncontrolled terms: Chestnut  -  Control unit  -  Geographical origins  -  Nondestructive detection  -  Rotary way  -  Sorting device  -  Sorting system  -  Spectral acquisition  -  Spectral information  -  Visible-near infrared spectroscopy

Classification code: 1106.1   -  1106.1.1   -  1301.1.3.1   -  208   -  705.3 Electric Motors  -  731.7 Mechatronics  -  744.5 Free Electron Lasers  -  804.2 Inorganic Compounds

Numerical data indexing: Frequency 1.50E+02Hz, Percentage 1.20E+01%, Percentage 7.40E+01%, Percentage 8.30E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.044

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

20. Design and Experiment of Conditioning Roller for Alfalfa Mower Conditioner Based on Hexagonal Irregul?r Teeth

Accession number: 20245317608706

Title of translation: 苜蓿收割调制机六边异形齿压扁辊设计与试验

Authors: Jin, Qiao (1, 2); You, Yong (1); Wang, Deeheng (1); Wang, Haiyi (1, 2); Hu, Pengzhan (1); Fang, Xianfa (2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Chinese Academy of Agricultural Mechanization Sciences Croup Co., Ltd., Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 239-248

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to the problems of high grass cmshing rate and large stem breakage loss during the cutting and conditioning process of alfalfa, focusing on the initial flowering stage of alfalfa, the influence of stem bending angle during the conditioning process on the stem breakage rate of alfalfa was analyzed. A conditioning roller with hexagonal roller teeth was designed based on the geometry and force relationship of the conditioning process, and the effects of the number of roller teeth, conditioning roller speed, and roller gap on conditioning rate, conditioningloss rate, and stem breakage rate were analyzed based on quadratic regression response surface experiment. The conditioning effect of hexagonal roller teeth was verified through drying tests. The results indicated that the bending rate of the stem was influenced by the gap between rollers and the breakage angle of the stem. When the gap was fixed, the breakage rate of the stem was decreased as the bending angle was increased. When the bending angle of the stem was constant, the smaller the gap was, the greater the breakage rate of the stem was. When bending angle was greater than 140°, the breakage rate of the stem was less than 10%. The optimal number of roller teeth, roller speed, and roller clearance for the conditioning roller were 6, 750 r/min, and 1.61 mm, respectively. The experimental results under this parameter showed conditioning rate of 97. 12%, conditioning loss rate of 1.40%, and stem fracture rate of 1.79%. Under natural drying conditions of 28 -31^, the average drying rates of mixed damage were 1.43 times and 1.97 times higher than those of compression damage and bending damage within 0-30 minutes, respectively. In the drying experiment, the average qualities changes rates of alfalfa conditioned with the conditioning roller within 0-30 minutes were 1. 53 g and 5. 36 g, respectively, which showed better drying effect than the traditional conditioning roller. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Rollers (machine components)

Controlled terms: Bending tests

Uncontrolled terms: Bending angle  -  Breakage rates  -  Conditioning process  -  Conditioning roller  -  Hexagonal shaped roller tooth  -  Mower conditioners  -  Response surface  -  Response surface experiment  -  Roller speed  -  Stem breakage

Classification code: 215.1.2   -  601.2 Machine Components

Numerical data indexing: Angular velocity 1.2525E+01rad/s, Mass 3.60E-02kg, Mass 5.30E-02kg, Percentage 1.00E+01%, Percentage 1.20E+01%, Percentage 1.40E+00%, Percentage 1.79E+00%, Size 1.61E-03m, Time 0.00E00s to 1.80E+03s

DOI: 10.6041/j.issn.1000-1298.2024.12.022

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

21. Design and Test of Chain-spoon Type Precision Seed-metering Device for Garlic Based on DEM - MBD Coupling

Accession number: 20250117620173

Title of translation: 基于DEM-MBD耦合的链勺式大蒜精量排种器设计与试验

Authors: Li, Hua (1, 2); Gao, Jifeng (1, 2); Wang, Yongjian (1, 2); Zhang, Qian (1, 2); Lu, Dawei (1, 2); Fu, Jieyi (1, 2)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) Key Laboratory of Intelligent Agricultural Equipment in Jiangsu Higher Edueation Institutions, Nanjing; 210031, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 147-159

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A new type of chain-spoon type garlic precision seed-metering device was designed to solve the problem of the high missing rate of the previous devices. The Overall structure and working principle of the seed-metering device were explained and analyzed, the design of its key components was optimized, the working process of the seed-metering device was analyzed, and the key factors affecting its operational Performance were identified. A single-factor Simulation test based on EDEM-RecurDyn coupled Simulation was conducted to investigate the effects of active sprocket rotational speed, seeding chain inclination in the seed-filling zone, and seed layer’ s height on the seeding Performance. Besides, a quadratic regression orthogonal rotational combination Simulation test was carried out with the active sprocket rotational speed, seed layer’s height, and seeding chain inclination angle as test factors and the single seed picking rate, missing rate, and replay rate as test indicators. A regression model of the evaluation indicators and test factors was established, and the parameters of the test factors were optimized. The test results showed that the best Performance was achieved when the active sprocket rotational speed was 23. 1 r/min, the seeding chain inclination angle was 67. 6°, and the seed layer’ s height was 301. 5 mm. At this time, the rate of single seed-picking was 92. 5%, the missing rate was 2. 5%, and the replay rate was 5. 0%. Bench tests were carried out to verify the seed-metering device’s operational Performance, and the results generally agreed with those predicted by the regression model. This study provides a reference for the optimized design of chain-spoon type garlic precision seed-metering device and its key components. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Sprockets

Controlled terms: Chains  -  Wheels

Uncontrolled terms: Chain-spoon type  -  DEM - MBD coupling  -  Garlic  -  Missing rate  -  Operational performance  -  Precision seed-metering devices  -  Rotational speed  -  Seed layer  -  Seed-metering device  -  Simulation tests

Classification code: 601.2 Machine Components  -  602 Mechanical Drives and Transmissions  -  602.1 Mechanical Drives

Numerical data indexing: Angular velocity 1.67E-02rad/s, Percentage 0.00E00%, Percentage 5.00E+00%, Size 5.00E-03m

DOI: 10.6041/j.issn.1000-1298.2024.12.013

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

22. Design and Experiment of Pneumatic Assisted Hole Fertilization Targeting Seed Position Device

Accession number: 20250117620315

Title of translation: 气力辅助式对种穴施肥装置设计与试验

Authors: Li, Guirong (1, 2); Su, Xintong (1); Zhou, Xin (1); Zhang, Xu (3, 4); Wang, Qingjie (1, 2); Wang, Chao (1, 2)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) Key Laboratory of Agricultural Equipment for Conservation Tillage, Ministry of Agricultural and Rural Affairs, Beijing; 100083, China; (3) Liaoning Provincial Institute of Agricultural Mechanization, Shenyang; 110161, China; (4) Key Laboratory of Remanufacture, Innovation of Agricultural Machinery and Equipment, Liaoning Province, Shenyang; 110161, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 191-200

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Ainring at the maize sowing synchronous hole fertilization process exists in the seed — fertilizer application position and the amount of fertilizer application is not accurate, poor hole formation of fertilizer by hole application devices and other difficult problems, a kind of pneumatic assisted hole fertilization targeting seed position device was designed. Based on the detected seed drop signal, the pneumatic assisted intermittent fertilizer discharge device converted the continuous fertilizer discharged from the outer chute wheel fertilizer discharger into intermittent fertilizer mass and applied it at a certain position from the seed. The structural composition and working principle of the device were described, the key structural dimensions of which were theoretically analyzed, and the role of airflow on the baffle was analyzed to verify the theoretical feasibility of the device. Based on STM32 microcontroller, a pneumatic assisted hole fertilization targeting seed position control System was developed. Based on the working mode of pneumatic assisted hole fertilization targeting seed position, a hole fertilization targeting seed position eontrol model applicable to high frequency intermittent fertilizer application scenario was oonstructed, and the hardware circuit and eontrol program were designed. In order to study the Performance of hole formation and fertilizer discharge stability of pneumatic assisted intermittent fertilizer discharge device, a discrete element Simulation test was condueted based on EDEM. When the forward speed was 3-7 km/h, the average length of fertilizer application was 69. 8 ~ 169. 1 mm, the coefficient of Variation of fertilizer application length was 3. 9% ~ 11. 9%, and the error of fertilizer discharge ranged was 1.7% -5.5%. By observing the movement State of fertilizer inside the pneumatic assisted intermittent fertilizer discharge device during the Simulation process, it was determined that the fertilizer discharge effect was the best when the baffle opening duration was 100 ms. Bench test was carried out, the average length of fertilizer applied in individual holes was 75 -187 mm, the coefficient of Variation of fertilizer length was 5. 3% - 12. 4%, the error of fertilizer discharge was 5. 6% - 12. 8%, and the error of hole spacing was 2. 5% - 6. 5%. When targeting seed position hole application was carried out, the average seed — fertilizer longitudinal spacing was 14 - 113 mm. The field experiment results showed that the average fertilization length was 93 - 189 mm and the average seed — fertilizer longitudinal spacing was 34 - 119 mm when the fertilizer amount was 5 g/hole. Seed — fertilizer synchronization was good, meeting the maize sowing synchronous hole fertilization Operation requirements. The test results were basically consistent with the Simulation experiment and the bench test, which verified the reliability of the Simulation experiment and the bench test. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 27

Main heading: Fertilizers

Controlled terms: Agricultural robots  -  Analog storage  -  Aspect ratio  -  Digital storage  -  Pneumatic control  -  Pneumatic control equipment  -  Seed  -  Time sharing programs  -  Wheels

Uncontrolled terms: Average length  -  Bench tests  -  Coefficients of variations  -  Discharge devices  -  Fertilisation  -  Fertilizer applications  -  Hole fertilization device  -  Hole formation  -  Pneumatic assisted type  -  Simultaneous seed — fertilizer application

Classification code: 1103.1   -  1106.1   -  1401.3   -  1502.1.1.3   -  601.2 Machine Components  -  731.1 Control Systems  -  731.6 Robot Applications  -  732.1 Control Equipment  -  821.2 Agricultural Chemicals  -  821.3 Agricultural Methods  -  821.5 Agricultural Wastes

Numerical data indexing: Mass 5.00E-03kg, Percentage 1.70E+00% to 5.50E+00%, Percentage 3.00E+00%, Percentage 4.00E+00%, Percentage 5.00E+00%, Percentage 6.00E+00%, Percentage 8.00E+00%, Percentage 9.00E+00%, Size 1.00E-03m, Size 1.40E-02m to 1.13E-01m, Size 3.00E+03m to 7.00E+03m, Size 3.40E-02m to 1.19E-01m, Size 7.50E-02m to 1.87E-01m, Size 9.30E-02m to 1.89E-01m, Time 1.00E-01s

DOI: 10.6041/j.issn.1000-1298.2024.12.017

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

23. Design and Experiment of Chassis Levelling Mechanism and Test of Hilly Tracked Sugarcane Harvester

Accession number: 20250117628478

Title of translation: 丘陵履带式甘蔗收获机底盘调平机构设计与试验

Authors: Lai, Xiao (1, 2); Cheng, Jianhua (1); Li, Shangping (1, 2); Wen, Chunming (2); Wei, Yutong (2); Song, Jiahua (2)

Author affiliation: (1) School of Mechanical Engineering, Guangxi University, Manning, 530004, China; (2) School of Electronic Information, Guangxi University for Nationalities, Manning, 530006, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 100-109

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem that the tracked sugarcane harvester has the risk of overturning when it worked in hilly mountainous areas with lateral slope, a chassis levelling mechanism suitable for tracked sugarcane harvesters was designed. Based on the characteristics of the tracked sugarcane harvester with a sugarcane conveying channel in the middle, the scheme of the double-sided levelling mechanism was proposed. The parameter design of the key components of the chassis levelling mechanism and the force analysis of each adjustment cylinder were carried out. A scaled-down test platform was constructed according to the principle of similarity, and lateral tipping analysis and lateral adjustment tests were carried out on the test platform. From the theoretical calculations and test analyses, the lateral tipping angles after lateral adjustment were larger than those before adjustment, and the lateral tipping angle was improved, the centre of mass of the whole machine can be effectively changed. The results of the lateral tipping test showed that the lateral tipping angle before adjustment was 24. 31°, and the lateral tipping angle after lateral adjustment was 27. 52°, which was 13. 20% higher than that before adjustment after lateral adjustment. The lateral attitude adjustment test showed that the maximum lateral adjustment angle was 10°, the adjustment time was 1 s, and the adjustment accuracy was within 0. 5°,the research result showed that the chassis levelling mechanism could validate the function of lateral attitude adjustment. In the initial state , the adjustment cylinder were subjected to the largest load, and the maximum value was 871. 61 N, which was converted into the thrust required by the prototype machine was 55 783. 04 N. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Leveling (machinery)

Controlled terms: Harvesters  -  Sugar cane

Uncontrolled terms: Chassi leveling mechanism  -  Double sided  -  Hilly mountainous terrain  -  Leveling mechanism  -  Mountainous area  -  Mountainous terrain  -  Sugarcane harvesters  -  Test platforms  -  Tipping angle  -  Tracked sugarcane harvester

Classification code: 821.2 Agricultural Chemicals  -  821.5 Agricultural Wastes

Numerical data indexing: Force 4.00E+00N, Force 6.10E+01N, Percentage 2.00E+01%, Time 1.00E00s

DOI: 10.6041/j.issn.1000-1298.2024.12.009

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

24. Energy Transfer Characteristics of Walnut Trunk and Branches in Mechanical Vibration Picking

Accession number: 20245317608656

Title of translation: 核桃机械振动采摘枝干能量传递特性研究

Authors: Jin, Wenting (1, 2); Zhao, Jinhui (1, 2); Zhuang, Tengfei (1, 2); Liu, Lijing (1, 2); Zhao, Enlong (1, 2); Yang, Xuejun (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Science Group Co.,Ltd., Beijing; 100083, China; (2) State Key Laboratory of Agricultural Equipment Technology, Beijing; 100083, China

Corresponding author: Zhuang, Tengfei(ztf07003@163.com)

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 221-230

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to study the dynamic characteristics of thin bark walnut tree with obvious trunk after artificial pruning under external vibration excitation load, the energy transfer law of mechanical vibration picking was revealed. A dynamic model of the vibration system of walnut tree-picker was established, and the operation mode of the symmetrical double-eccentric walnut picker gripping the trunk was adopted. The field vibration energy transfer test was carried out by installing a three-axis vibration monitoring sensor according to the prescribed path and monitoring point. Combined with the vibration displacement response data of the trunk, the results showed that when stimulated by symmetrical double eccentric vibration, the movement process of the walnut trunk oscillated and reciprocated along the Z direction of the clamping position. According to the variation rules of vibration displacement and kinetic energy amplitude of the forced vibrating branches of walnut tree obtained by the three-axis vibration monitoring sensor, the mechanical energy was converted into kinetic energy during the picking process of walnut vibration, and transferred from the excitation position of the trunk to the free end of the branch in the form of energy waves. In the transmission process, kinetic energy was obtained at each monitoring point in turn, and the longer the transmission distance was, the more the kinetic energy attenuation was. In addition, the branch wobbled and bent in the process of spatial movement, resulting in a small range of instantaneous restorable deformation in the growth direction. Due to the influence of short branch length and other factors, the up and down swing amplitude was larger than the left and right swing amplitude, which was opposite to the spatial swing amplitude of branches and lateral branches. The analysis of the mean value of forced kinetic energy of the farthest branch under excitation frequency of 13~30Hz showed that when the picker operated at 23~25Hz excitation frequency, the mean value of kinetic energy obtained by the farthest branch of the test walnut tree was the largest.The research results can provide a theoretical basis for the selection of working parameters of the vibrating picker for walnut trunk. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Kinetic energy

Controlled terms: Machine vibrations  -  Vibration analysis

Uncontrolled terms: Double eccentrics  -  Energy  -  Energy-transfer  -  Mechanical  -  Swing amplitude  -  Three axes  -  Vibration monitoring  -  Vibration picking  -  Walnut  -  Walnut trees

Classification code: 1301.1.1   -  601.3 Mechanisms  -  941.5

Numerical data indexing: Frequency 1.30E+01Hz to 3.00E+01Hz, Frequency 2.30E+01Hz to 2.50E+01Hz

DOI: 10.6041/j.issn.1000-1298.2024.12.020

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

25. Inversion Model of Soil Salinity at Different Fertility Stages in Alfalfa Fields Based on Multi-spectral Imagery

Accession number: 20250117619357

Title of translation: 基于多光谱影像的苜蓿地不同生育期土壤含盐量反演模型研究

Authors: Zhao, Wenju (1, 2); Li, Zhaozhao (1, 2); Ma, Fangfang (1, 2); Duan, Weicheng (1, 2); Ma, Hong (1, 2)

Author affiliation: (1) College of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; (2) Key Laboratory of Smart Agriculture Irrigation Equipment, Ministry of Agriculture and Rural Affairs, Lanzhou; 730050, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 418-429

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Soil salinization has always been an important faetor restricting the sustainable development of agriculture in Northwest China. In order to explore the rapid inversion model of soil salinity at different depths in different growth stages of alfalfa land, soil salinity at the depths of 0 ~ 15 cm, 15 ~ 30 cm and 30 ~ 50 cm in the branching stage, budding stage and early flowering stage of alfalfa land was collected. Based on the multi-spectral image data of UAV, the spectral reflectance of sampling points was extracted. On this basis, the red band was introduced instead of the red band and the near-infrared band to calculate the spectral index. Pearson correlation corfficient (PCCs) and gray relational analysis (GRA) were used for index Screening. A total of 54 machine learning models based on extreme gradient boosting (XGBoost) algorithm, back propagation neural network (BPNN) and random forest (RF) were constructed to determine the optimal inversion model of soil layers at different depths in different growth stages of alfalfa land. The results showed that the inversion effect of XGBoost model was better than that of BPNN model and RF model, and the inversion results could truly reflect the soil salt content of alfalfa field at different growth stages. Aceording to the inversion of different growth stages, the inversion effect of XGBoost model in branching stage and early flowering stage was better than that of other models. The determination coefficient of Validation set (R) was 0. 835 and 0. 709, respectively, the root mean Square error (RMSE) was 0.042% and 0.047%, respectively, and the mean absolute error (MAE) was 0. 046% and 0. 037%, respectively. The inversion effect of RF model was better than that of other models, with R2p of 0. 717, RMSE of 0. 034% and MAE of 0. 042%. From the perspective of different depths inversion, the inversion effect of XGBoost model in 0 ~ 15 cm soil layer was better than that of other models. The R2p was 0. 835, the RMSE was 0. 053%, and MAE was 0. 043%. The XGBoost and RF models were superior to the BPNN model in 15 -30 cm and 30 ~ 50 cm soil layers, with R of 0. 717 and 0.739, RMSE of 0. 034% and 0. 038%, and MAE of 0. 042% and 0.031%, respectively. The branching period was the best inversion growth period, and the depth of 0 ~ 15 cm was the best salinity inversion depth, and the coupling model of PCCs variable Screening method and XGBoost machine learning algorithm had the best accuracy. The R of the modeling set and the verification set were 0. 856 and 0. 835, respectively, and Rp/Rc was 0.975, which had good robustness. The research results can provide a theoretical basis for rapid and accurate inversion of soil salinity. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 36

Main heading: Decision trees

Controlled terms: Adaptive boosting  -  Agricultural robots  -  Forward error correction  -  Health risks  -  Multilayer neural networks  -  Random errors

Uncontrolled terms: Alfalpha field  -  Different growth stages  -  Inversion effects  -  Inversion models  -  Mean absolute error  -  Multi-spectral  -  Root mean square errors  -  Soil salinity  -  Variables selections  -  Xgboost

Classification code: 102.1.2.1   -  1101   -  1103.3   -  1106   -  1201.5   -  1201.8   -  731.1.1   -  731.6 Robot Applications  -  821.2 Agricultural Chemicals  -  961 Systems Science

Numerical data indexing: Percentage 3.10E-02%, Percentage 3.40E+01%, Percentage 3.70E+01%, Percentage 3.80E+01%, Percentage 4.20E+01%, Percentage 4.20E-02%, Percentage 4.30E+01%, Percentage 4.60E+01%, Percentage 4.70E-02%, Percentage 5.30E+01%, Size 0.00E00m to 1.50E-01m, Size 1.50E-01m to 3.00E-01m, Size 3.00E-01m to 5.00E-01m

DOI: 10.6041/j.issn.1000-1298.2024.12.040

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

26. Accurate Counting of Pigs in Slaughterhouses Based on Improved YOLO v5 - StrongSORT

Accession number: 20250117620963

Title of translation: 基于改进YOLO v5-StrongSORT的屠宰场猪只精准计数方法

Authors: Zhang, Zhanqi (1); Sun, Xianbin (1); Sun, He (2); Min, Haibo (1); Kong, Liya (1); Zhang, Hongliang (3)

Author affiliation: (1) School of Mechanical and Automotive Engineering, Qingdao Vniversity of Technology, Qingdao; 266520, China; (2) School of Mechanical and Electrical Engineering, Central South University, Changsha; 410083, China; (3) College of Veterinary Medicine, Qingdao Agricultural University, Qingdao; 266109, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 354-364

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Pig counting plays a crucial role in the management of slaughterhouse production and the estimation of assets. In response to the existing challenges of labor-intensive manual counting and elevated error rates within the pig counting processes of slaughterhouses, a meticulous pig counting methodology was introduced, leveraging an improved Integration of YOLO v5 and StrongSORT. Initially, the improved YOLO v5 model incorporated real aspect loss and aspect ratio to enhance the Performance of the loss function. Additionally, an efficient Channel attention (ECA) mechanism was introduced into the Neck layer to augment the model’s recognition capabilities in complex environments. Subsequently, a detection mechanism was constructed based on StrongSORT to facilitate the re-identification of pigs. Finally, a pig counting method utilizing area ID Information detection was introduced based on the StrongSORT framework. Experimental results demonstrated that the enhanced YOLO v5 algorithm achieved a pig recognition accuracy of 93. 78%, a recall rate of 91. 98%, and a mean average precision (mAP) of 96.29%, with a recognition speed of 500 frames per second (f/s). This represented a significant improvement of 1. 14 percentage points in recall, 0.89 percentage points in mAP, and an 85. 0% increase in frame rate compared with that of the YOLO v5s model. The accuracy of combining the improved YOLO v5 with the StrongSORT area counting method for pig counting was 98. 46%, and the counting speed was 73 f/s, which was 1. 54 percentage points higher than the manual counting accuracy, 9. 23 percentage points higher than the original model counting accuracy, and 21. 87% higher than the counting speed. The pig counting method proposed demonstrated high accuracy and was well-suited for the enumeration of pigs in slaughterhouse settings. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 40

Main heading: Mammals

Controlled terms: Error statistics  -  Fertilizers

Uncontrolled terms: Attention mechanisms  -  Error rate  -  Frames per seconds  -  Improved YOLO v5  -  Labour-intensive  -  Loss functions  -  Percentage points  -  Pig identification  -  Region counting  -  Strongsort

Classification code: 103   -  1202.2   -  1502.1.1.3   -  821 Agricultural Equipment and Methods; Vegetation and Pest Control  -  821.3 Agricultural Methods

Numerical data indexing: Percentage 0.00E00%, Percentage 4.60E+01%, Percentage 7.80E+01%, Percentage 8.70E+01%, Percentage 9.629E+01%, Percentage 9.80E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.034

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

27. ECVT Configuration Design and Energy-saving Control of Hybrid Tractor Based on Lever Topology Method

Accession number: 20250117620131

Title of translation: 基于杠杆拓扑法的混合动力拖拉机ECVT构型设计与节能控制

Authors: Zhang, Kai (1); Lu, Zhixiong (1); Wang, Lin (2); Deng, Xiaoting (1); Zhang, Boqu (1); Sun, Xiaoxu (1)

Author affiliation: (1) College of Engineering, Nanjing Agricultural University, Nanjing; 210031, China; (2) State Key Laboratory of Intelligent Agricultural Power Equipment, Luoyang; 471039, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 505-518 and 538

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The problem of poor fuel economy of traditional high-powered tractors has promoted the development of hybrid traotors, and the problem that the Output speed of power take-off (PTO) cannot be decoupled from the running speed of tractors, which made the electronic continuously variable transmission (ECVT) tractors of planetary gear popularized, but the power cycle phenomenon of ECVT of planetary gear reduced the shunting efficiency. Therefore, the power-split principle and power cycle generation mechanism of 2K - H epicyclic gear train were analyzed based on the lever balance method. A lever topology method for ECVT configuration design of high-powered hybrid tractor was proposed to search feasible configurations efficiently. The final scheme of ECVT configuration of high-horsepower hybrid tractor was put forward, and its feasibility was verified. Firstly, the ECVT configuration was topologized by lever topology method and power output-split principle. Then the optimal configuration was optimized by analyzing the transmission characteristics of each topological configuration. By installing clutches and brakes to meet the needs of tractor Operation and the feasibility of various mode switching.The rear drive System was matched with high and low gears, main reduction and wheel reduction to form the final configuration scheme. At the same time, the dynamic characteristic equations of the four working modes of this configuration were derived, and the feasibility of decoupling Output between PTO speed and tractor speed was clarified. Finally, the Simulation analysis of energy-saving control of the whole hybrid tractor based on ECVT energy management strategy based on dynamic programming algorithm was carried out under plowing and rotary tillage conditions respectively. The results showed that compared with the comparison configuration, the proposed ECVT configuration can reduce the equivalent fuel consumption by about 5. 17% under ploughing condition and about 5. 11% under rotary tillage condition, which can effectively improve the fuel economy of the high-horsepower hybrid tractor. There was no power cycle phenomenon under two working conditions, which ensured the smooth Operation and split efficiency of the hybrid power transmission System. The decoupling Output of PTO speed and tractor speed was realized, which provided a Solution for the independent speed control of PTO shaft independent of tires. The proposed energy management strategy was helpful to the energy-saving control of hybrid power System. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Epicyclic gears

Controlled terms: Agricultural robots  -  Balancing  -  Binary trees  -  Directed graphs  -  Energy dissipation  -  Energy utilization  -  Gear trains  -  Gear transmissions  -  Graph Databases  -  Heat storage   -  Light velocity  -  Network theory (graphs)  -  Tractors (agricultural)  -  Tractors (truck)  -  Voltage scaling

Uncontrolled terms: Condition  -  Continuously variable transmission  -  Electronic continuously variable transmission configuration  -  Energy-saving control  -  Hybrid tractor  -  Lever topology method  -  Output-split  -  Power cycle  -  Power take-offs  -  Transmission configuration

Classification code: 1009.1   -  1009.2   -  1009.4   -  1106.2   -  1106.4   -  1201.8   -  302   -  601 Mechanical Design  -  601.2 Machine Components  -  602.2 Mechanical Transmissions  -  661 Automotive Engines and Related Equipment  -  662.3 Automobile and Smaller Vehicle Materials  -  663.1 Heavy Duty Motor Vehicles  -  713.5 Other Electronic Circuits  -  731.6 Robot Applications  -  741.1 Light/Optics  -  821.2 Agricultural Chemicals

Numerical data indexing: Percentage 1.10E+01%, Percentage 1.70E+01%, Temperature 2.00E+00K

DOI: 10.6041/j.issn.1000-1298.2024.12.048

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

28. Developing and Parameter Optimization of Two-dimensional Soil Water Transport and Crop Growth Coupling Model Based on Genetic Algorithm

Accession number: 20250117620891

Title of translation: 基于遗传算法的二维土壤水与作物生长耦合模拟模型构建和参数优化

Authors: Zhang, Fangxu (1, 2); Wang, Jun (2); Han, Yuping (1); Jia, Dongdong (1); Li, Jiusheng (2)

Author affiliation: (1) College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou; 450046, China; (2) State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing; 100048, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 392-403

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: To efficiently and aceurately estimate the model parameters of the soil-crop System under drip irrigation conditions, a genetic algorithm (GA) was integrated with the two-dimensional soil water and crop growth Simulation model (SWNCM — 2D) to establish an optimization model for soil hydraulic parameters and crop growth parameters under drip irrigation conditions. The objective was to minimize the Standard root-mean-square error (RMSE) between the measured and simulated soil water Contents as well as crop dry matter quality. By utilizing observed data on soil water content, crop growth dynamics, and yield under drip irrigation treatment in southern Xinjiang, the soil hydraulic parameters and crop growth parameters were optimized by using the SWNCM — 2D model coupled with GA. These optimized model parameters were then utilized to predict cotton yield and water productivity under various drip irrigation management scenarios. The results demonstrated that parameter optimization using the SWNCM — 2D model coupled with GA yielded favorable outcomes. The RMSE, nRMSE and d values between simulated and measured soil water Contents in different layers ranged from 0. 009 5 cm” /cm” to 0. 037 0 cm /cm, 5% to 27%, and 0. 651 8 to 0. 964 2 respectively; while nRMSE for dry matter accumulation and LAI were within the r?nge of 8% ~ 17% and 6. 2% ~ 23. 0%, d all exeeeded 0. 97 threshold value. Cotton lint yield was increased with the increase of Irrigation levels while water productivity was decreased accordingly; lint yield was decreased as irrigation intervals lengthened whereas water productivity was initially increased before declining with longer intervals. In conclusion, simulations based on optimized Parameters provided accurate representation of dynamic changes in soil moisture throughout the entire growth period along with precise depiction of crop development processes. Considering cotton yield alongside water productivity, the recommended irrigation regime for this region was a watering interval of 7 days at a rate of 120% ETc. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 37

Main heading: Cotton

Controlled terms: Crop rotation  -  Soil moisture  -  Water content

Uncontrolled terms: Coupling models  -  Crop growth  -  Drip irrigation  -  Parameter optimization  -  Soil water  -  Soil water content  -  SWNCM — 2d  -  Two-dimensional  -  Water productivity  -  Yield prediction

Classification code: 483.1 Soils and Soil Mechanics  -  821.4 Agricultural Products  -  821.5 Agricultural Wastes  -  941.6

Numerical data indexing: Age 1.918E-02yr, Percentage 0.00E00%, Percentage 1.20E+02%, Percentage 1.70E+01%, Percentage 2.00E+00%, Percentage 5.00E+00% to 2.70E+01%, Percentage 8.00E+00%, Size 0.00E00m, Size 5.00E-02m

DOI: 10.6041/j.issn.1000-1298.2024.12.038

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

29. Distributed Drive Control Method of Electric Harvester Based on BLF Multi-constraint Inversion Control

Accession number: 20250117620979

Title of translation: 基于BLF多约束反演控制的电动收获机分布式驱动控制方法研究

Authors: Yuan, Chaochun (1); Liu, Min (1); He, Youguo (1); Chen, Long (1); Shen, Jie (2); Xu, Lizhang (3)

Author affiliation: (1) Automotive Engineering Research Institute, Jiangsu University, Zhenjiang; 212013, China; (2) University of Michigan-Dearborn, Dearborn; 48128, United States; (3) Key Laboratory for Theory and Technology of Intelligent Agriculture Machinery and Equipment, Jiangsu University, Zhenjiang; 212013, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 212-220

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Current combine harvesters faced challenges such as low levels of automation, environmental pollution, high costs, and complex Operations, requiring operators to possess advanced driving skills. During harvesting, operators needed to adjust the harvester’s parameters based on prevailing field conditions. However, reliance on operators’ subjective experience for assessing field eonditions and adjusting harvesting parameters impeded the intelligent development of combine harvesters. Consequently, electric harvesters, with their promising prospects for intelligent development and variable transmission ratios of working components, emerged as a new trend. The issues of real-time control, accuracy, and stability in the distributed drive System of electric harvesters under feed-in disturbances were primarily addressed. Using an electric harvester as the platform, a component load model was established, and a multi-constraint inverse control algorithm based on the barrier Lyapunov function (BLF) was designed. Joint Simulation models were developed by using the AMEsim and Matlab/ Simulink platforms to validate the Performance of the control algorithm. The results demonstrated that compared with traditional PID control, this algorithm significantly reduced overshoot in the cutter platform, conveyor, and threshing drum motor speed control by 4%, 34%, 92%, respectively, when facing various feed-in disturbances. The adjustment times were reduced by 34%, 54%, 72%, respectively. The maximum motor speed error for each component was maintained within 3% of the preset speed, and that was 8% for PID control. This validated the algorithm’s rapid control response, minimal speed tracking error, and strong disturbance rejection capabilities. It effectively constrained component speeds within their boundaries, enabling robust control under different feeding disturbances and thereby contributing to the stability of the Overall machine’s operational quality. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: MATLAB

Controlled terms: Disturbance rejection  -  Electric variables control  -  Invariance  -  Inverse problems  -  Lyapunov methods  -  Proportional control systems  -  Robust control  -  Robustness (control systems)  -  Speed regulators  -  Three term control systems   -  Two term control systems  -  Variable speed transmissions

Uncontrolled terms: Backstepping control  -  Barrier lyapunov function  -  Combine harvesters  -  Constraint control  -  Control methods  -  Distributed drive control  -  Drive control  -  Electric harvester  -  Lyapunov’s functions  -  Multi-constraints

Classification code: 1106.5   -  1201   -  1201.5   -  1201.6   -  601.2 Machine Components  -  602.2 Mechanical Transmissions  -  701.1 Electricity: Basic Concepts and Phenomena  -  704.2 Electric Equipment  -  731 Automatic Control Principles and Applications  -  731.1 Control Systems  -  731.3 Specific Variables Control  -  732.1 Control Equipment  -  961 Systems Science

Numerical data indexing: Percentage 3.00E+00%, Percentage 3.40E+01%, Percentage 4.00E+00%, Percentage 5.40E+01%, Percentage 7.20E+01%, Percentage 8.00E+00%, Percentage 9.20E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.019

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

30. Design and Test of Hydraulic Active Profiling Mechanism for High-speed No-till Com Planter

Accession number: 20245317608800

Title of translation: 玉米高速免耕播种机液压主动仿形机构设计与试验

Authors: Yi, Shujuan (1); Li, Yikai (1); Li, Yifei (1); Chen, Tao (1); Sun, Tinghan (1); Yang, Hongyu (2)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agricultural University, Daqing; 163319, China; (2) Heilongjiang Beulahuang Modern Agricultural Service Group, Zhongrong Agricultural Machinery Co. Ltd., Harbin; 150030, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 110-120 and 133

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to solve the problem of poor seeding depth consisteney of no-till eorn planter under high-speed Operation environment, an adjustable hydraulic profiling mechanism was designed, which realized high-precision synchronous profiling by means of compensation adjustment. The application of ANSYS Software on the hydraulic profiling mechanism for static analysis was carried out, to find the initial extensions of the hydraulic cylinder and hydraulic profiling mechanism of the maximum stress-strain value of the relationship between the analysis results showed that, in the 30 mm, 40 mm, 50 mm, 60 mm and 70 mm extensions, with the increase of the initial amount of the hydraulic cylinder installation, the hydraulic profiling mechanism of the maximum stress value of a significant reduction in the maximum strain value was gradually increased. In order to preliminarily test the operational Performance of the hydraulic profiling mechanism and verify the enhancement effect of the designed sliding adjustment mechanism on its operational adaptability, a two-factor, five-level quadratic orthogonal rotary combination test was conducted by using the pitching seeding unit profiling Performance testing bench with the initial extensions of hydraulic cylinders and the operational speed as the test factors, and the ratio of the upper and lower profiling average error, the profiling average error, and the average adjustment time as the test indexes. When the operating speed was 12. 3 km/h, the sliding adjustment mechanism had the best effect on the improvement of adjustment accuracy, and it can reduce the adjustment error by 18. 99%; when the operating speed was 14.8 km/h, the sliding adjustment mechanism had the best effect on the improvement of adjustment speed, and it can shorten the adjustment time by 16. 11%; and by sliding adjustment mechanism, the average error of the mimicry under different operating speeds was not more than 2. 02 mm, and the average error of the mimicry at different operating speeds was not more than 0. 29 s, which met the design requirements. In addition, in order to further verify the comprehensive profiling Performance of the hydraulic profiling mechanism, the field comparison test was conducted, and the results showed that the qualified rate of seeding depth of the seeding unit equipped with the hydraulic profiling mechanism was 94. 8%, and the maximum coefficient of Variation of seeding depth was 6. 12%, and all the indexes met the requirements of agronomy for com seeding. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Cylinders (shapes)

Controlled terms: Hydraulic equipment  -  Hydraulic machinery  -  Hydraulics  -  Software testing  -  Strain rate  -  Stress-strain curves

Uncontrolled terms: Adjustment mechanisms  -  Average errors  -  Com  -  High Speed  -  High-speed no-till planter  -  Hydraulic profiling  -  Hydraulic profiling mechanism  -  Hydraulic system  -  No-till planters  -  Operating speed

Classification code: 1106.9   -  1401.1   -  1401.2   -  214.1.1   -  408.1 Structural Design, General

Numerical data indexing: Percentage 1.10E+01%, Percentage 1.20E+01%, Percentage 8.00E+00%, Percentage 9.90E+01%, Size 1.48E+04m, Size 2.00E-03m, Size 3.00E+03m, Size 3.00E-02m, Size 4.00E-02m, Size 5.00E-02m, Size 6.00E-02m, Size 7.00E-02m, Time 2.90E+01s

DOI: 10.6041/j.issn.1000-1298.2024.12.010

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

31. Design and Test of Assisted Driving Operation System of Tracked Potato Combine Harvester

Accession number: 20245317617554

Title of translation: 履带式马铃薯联合收获机辅助驾驶作业系统设计与试验

Authors: Yang, Ranbing (1, 2); Lu, Shiting (2, 3); Zhang, Jian (1); Pan, Zhiguo (1); Wang, Weijing (1); Bai, Xiangyu (1)

Author affiliation: (1) College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao; 266109, China; (2) College of Mechanical and Electrical Engineering, Hainan University, Haikou; 570228, China; (3) School of Breeding and Multiplication, Sanya Institute of Breeding and Multiplication, Hainan University, Sanya; 572025, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 231-238 and 343

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The tracked potato combine harvester features a small turning radius, strong passability, and low ground pressure, making it increasingly popular in potato harvesting operations. In order to improve the intelligence level of tracked potato combine harvester and reduce the labor intensity in the process of potato harvest, the Hongzhu 4ULZ - 110 model tracked potato combine harvester was used as the experimental platform, an auxiliary driving operation system for tracked potato combine harvester was designed, and electro-hydraulic control of the harvester’s steering mechanism and digging mechanism was achieved by installing electronic proportional valves. Building upon a heading deviation PD controller, a proportional term for lateral deviation was incorporated and a control delay compensation feedforward term adaptive to driving speed was introduced, resulting in a composite feedforward + feedback path tracking control algorithm. Straight-line path tracking control experiments on cement roads and dry land were conducted at speeds of 0. 55 m/s, 0. 83 m/s and 1. 11 m/s, respectively. Additionally, assisted driving harvesting operations were performed at speed of 0. 55 m/s in the potato planting fields in Jiaozhou. The experimental results demonstrated that the designed auxiliary driving operation system for the potato harvester functions was reliable. The maximum absolute lateral deviation during the harvesting operation was 5. 10 cm, with an average absolute deviation of 2. 00 cm, showcasing good stability and straight-line path tracking accuracy during harvesting travel, meeting the requirements for field operations of the potato harvester. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Combines

Controlled terms: Adaptive control systems  -  Delay control systems  -  Feedback control  -  Harvesters  -  Proportional control systems  -  Two term control systems

Uncontrolled terms: Assisted driving operation system  -  Assisted drivings  -  Combine harvesters  -  Crawler  -  Driving operations  -  Feed forward  -  Harvesting operations  -  Lateral deviation  -  Operation system  -  Potato harvesters

Classification code: 731 Automatic Control Principles and Applications  -  731.1 Control Systems  -  821.2 Agricultural Chemicals

Numerical data indexing: Size 0.00E00m, Size 1.00E-01m, Velocity 1.10E+01m/s, Velocity 5.50E+01m/s, Velocity 8.30E+01m/s

DOI: 10.6041/j.issn.1000-1298.2024.12.021

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

32. Extraction Method of Terrace Operation Area in Loess Plateau Based on Improved TransUNet

Accession number: 20250117619623

Title of translation: 基于改进TransUNet的黄土高原梯田作业区域提取方法

Authors: Yang, Fuzeng (1, 2); Yuan, Minxin (1, 2); Xu, Xianghu (1, 2); Wang, Wang (1, 2); Yang, Jiangtao (3); Liu, Zhijie (1, 2)

Author affiliation: (1) College of Mechanical and Electronic Engineering, Northwest A&F Universitj, Shaanxi, Yangling; 712100, China; (2) Scientific Ohserving and Experimental Station of Agricultural Equipment for the Northern China, Ministry of Agriculture and Rural Affairs, Shaanxi, Yangling; 712100, China; (3) College of Water Resources and Architectural Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 278-286

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Accurate map oonstruction of farmland Operation area is an important prerequisite for realizing the path planning and navigation Operation of farm machinery. The terraced fields on the Loess Plateau have different sizes and complex shapes, and there are some pits, ditches and many dangerous Operation boundaries, so it is difficult to accurately extraet the terraced Operation area by the commonly used satellite point measurement methods. An improved TransUNet model based on multi-seale feature extraction and fusion up-sampling was proposed with the remote sensing images of terraced fields from UAVs as the data base. In the encoder part, the ability of feature extraction and fusion for different scales of terraces was enhanced by introducing the pyramid squeeze attention (PSA) module on top of the ehannel attention and the Transformer layer was optimized by using the residual structure. In the decoder part, the Dual up — sample module was introduced to integrate the sub-pixel convolutional layer with the bilinear interpolation up-sampling to improve the accuracy of the terraced field boundary segmentation while preventing the checker board effect, and the ehannel and spatial attention mechanism module (concurrent spatial and Channel squeeze and Channel excitation (SCSE)) was added at the end of the decoder to integrate and enhance the Information of spatial and Channel dimensions, which helped to recover the detailed features of the image step by step. The experimental results showed that the mean pixel accuracy, Fl value, and mean intersection over union of the improved TransUNet model can reach up to 96. 0%, 96. 0%, and 92. 3% on average on the test set of three typical terraces, namely, straight and long stripes, meandering stripes, and irregul?r shapes, respectively, which was an average enhancement of 1. 8 percentage points compared with the pre-improvement period, and compared with the representative PSPNet, HRNet V2, DeepLab V3 +, and U — Net models, the average improvement of the three indicators was 8. 3, 6. 2, 5. 0, and 4. 2 percentage points. On the test set of three types of single terraces, the proposed model performed the best, and intersection over union can reach 97.0% on average. The method can provide a reference for the construction of terraced field environment maps in the Loess Plateau and the navigation Operation of agricultural machinery in hilly and mountainous areas. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Motion planning

Controlled terms: Agricultural robots  -  Cash registers  -  Fertilizers  -  Image sampling  -  Network coding  -  Photomapping  -  Semantic Segmentation

Uncontrolled terms: Features extraction  -  Features fusions  -  Loess Plateau  -  Percentage points  -  Semantic segmentation  -  Terrace  -  Test sets  -  Transunet  -  UAV remote sensing  -  Upsampling

Classification code: 1101   -  1103.2   -  1106.3.1   -  1106.8   -  1502.1.1.3   -  405.3 Surveying  -  716.1 Information Theory and Signal Processing  -  731.6 Robot Applications  -  742.1 Photography  -  821.2 Agricultural Chemicals  -  821.3 Agricultural Methods

Numerical data indexing: Percentage 0.00E00%, Percentage 3.00E+00%, Percentage 9.70E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.026

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

33. Comprehensive Evaluation Method of Pig House Environment Based on Time Series Sequences

Accession number: 20245317618804

Title of translation: 基于时序序列的猪舍环境综合评价方法研究

Authors: Xie, Qiuju (1, 2); Li, Jialong (1); Cao, Shilei (1); Guo, Yuhuan (1); Liu, Honggui (3, 4); Zheng, Ping (1, 2); Liu, Wenyang (1); Yu, Haiming (1)

Author affiliation: (1) College of Electrical and Information, Northeast Agricultural University, Harbin; 150030, China; (2) Key Lahoratory of Pig Breeding Facilities, Ministry of Agriculture and Rural Affairs, Harbin; 150030, China; (3) College of Animal Science and Technology, Northeast Agricultural University, Harbin; 150030, China; (4) Engineering Research Center of Pig Intelligent Breeding and Farming in Nothern Cold Region, Ministry of Education, Harbin; 150030, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 201-231

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In intensive pig farming, the pig house environment is an important factor affeeting the health of pigs. However, the Joint precise control of multiple environmental factors has always been a common problem in pig house environment control. Therefore, the adaptive Gaussian filtering (AGF) algorithm combined with long short term memory networks (LSTM) was used to predict the environmental factors inside the pig house, providing support for optimizing the control strategy of the pig house environment. By combining the weighted method, the weights of the environmental evaluation indicators inside the pig house were determined, and an evaluation method based on the unknown measurement method was constructed to provide reference for pig house environment control. The proposed method was validated by using measured data from pig houses, and the results showed that compared with the LSTM prediction model, the LSTM prediction model with the AGF optimization algorithm (LSTM — AGF) improved the prediction Performance (R) of ammonia, temperature, relative humidity, and carbon dioxide concentration by 0. 33, 0. 03, 0. 05 and 0. 12, respectively. The proposed prediction evaluation method based on the unknown measurement method had a sensitivity (SENS) of 0. 215, which was 20.8% higher than that of the traditional fuzzy comprehensive evaluation method. Therefore, the environmental quality evaluation method proposed can provide feasible referenee for precise control of the pig house environment. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 23

Main heading: Adaptive filtering

Controlled terms: Adaptive filters

Uncontrolled terms: Adaptive Gaussian filtering  -  Deep learning  -  Evaluation methods  -  Memory network  -  Pig house  -  Pig house environment  -  Short term memory  -  Time series sequence  -  Times series  -  Uncertain measurements

Classification code: 703.2 Electric Filters  -  716.1 Information Theory and Signal Processing

Numerical data indexing: Percentage 2.08E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.041

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

34. Identification of Multi-year Distribution Information of Winter Wheat Based on Correlation Transfer of Multi-phenological Feature Indices

Accession number: 20245317618488

Title of translation: 基于多物候特征指数相关性迁移的冬小麦多年份分布信息识别

Authors: Wu, Xifang (1); Hua, Shihao (1); Zhang, Sha (2); Gu, Lingxiao (1); Ma, Chunyan (1); Li, Changchun (1)

Author affiliation: (1) School of Surveying and Mapping and Land Information Engineering, Henan Polytechnic University, Jiaozuo; 454003, China; (2) School of Geographic Sciences, Hebei Normal University, Shijiazhuang; 050024, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 268-277 and 353

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In remote sensing crop identification, the quality of sample data significantly influences the accuracy of identification. However, collecting sample data for multiple years in large regions is a laborious task. To reduce the workload of annual sample collection and improve crop identification efficiency, a sample transfer strategy was proposed based on multi-phenological feature indices. Utilizing the winter wheat distribution map of Jiaozuo City in 2019, high-quality sample data for 2020 and 2021 were generated by the correlation of multi-phenological feature index time series curves. Then the random forest machine learning method was employed to achieve automatic and efficient identification of winter wheat in Jiaozuo City for 2020 and 2021. The results indicated that by employing the proposed sample migration strategy to obtain the sample data, the overall accuracy of winter wheat identification in both years exceeded 94% when the correlation reached 0.001 at the significance level. Additionally, the Kappa coefficient was above 0. 91. The coefficient of determination (R2 ) between the identified area and the statistical area for each county ( city) reached 0. 957 , with root mean square error ( RMSE ) of 20. 16 km . This demonstrated the effectiveness and precision of the proposed method in winter wheat identification. Compared with the method of transferring correlation based on single vegetation index time series curves, the overall accuracy of the method in 2020 and 2021 was improved by 1. 32 percentage points and 2.27 percentage points, respectively. The Kappa coefficients were increased by 0.022 and 0. 037 , respectively, and the R2 between the identified areas and the statistical areas of each county was increased by 0.026 over the two years, the RMSE was decreased by 20. 1%. Furthermore, when applying this transfer strategy to Xinxiang City and Hebi City, the overall accuracy of winter wheat identification exceeded 92% , and the R2 between the identified areas and the statistical areas was 0. 92. The research result demonstrated that the proposed sample transfer strategy performed well across both time and space, providing insights and technical support for rapidly and accurately obtaining long-term crop distribution information in large regions. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 37

Main heading: Time series

Controlled terms: Decision trees

Uncontrolled terms: Distribution information identification  -  Information identifications  -  Multi-phenological feature index  -  Overall accuracies  -  Sample data  -  Sentinel - 2  -  Times series  -  Transfer learning  -  Transfer strategies  -  Winter wheat

Classification code: 1201.5   -  1201.8   -  1202.2   -  961 Systems Science

Numerical data indexing: Percentage 1.00E00%, Percentage 9.20E+01%, Percentage 9.40E+01%, Size 1.60E+04m

DOI: 10.6041/j.issn.1000-1298.2024.12.025

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

35. Research and Experiment on Loosening Soil by Cutting Roots to Release Pressure for Degraded Leymus chinensis Grassland

Accession number: 20250117630466

Title of translation: 退化羊草地切根释压松土工艺研究与试验

Authors: Wang, Zhaoyu (1); You, Yong (1); He, Changbin (2); Wang, Decheng (1); Zhang, Xuening (1)

Author affiliation: (1) College of Engineering, China Agricultural University, Beijing; 100083, China; (2) College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot; 010018, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 404-417

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Natural grasslands with rhizome-type or rhizome-sparse grasses such as Leymus chinensis as the established species are in serious degradation. Mechanical soil loosening is one of the important means to improve this type of grassland. However, inappropriate methods of soil loosening can easily damage the grassland vegetation, and lead to soil desertification. In order to explore the suitable soil scarification method for improving degraded Leymus chinensis grassland, a method of loosening the soil by cutting roots to release pressure was proposed. Taking the degraded grassland in Hailar area as the research object, a comparative test of traditional loosening, loosening the soil along the cracks, and loosening the soil by cutting roots to release pressure was carried out by using a combination of discrete element simulation and field test. The effects of three loosening methods on the grassland disturbance process, work quality and loosening resistance were analyzed. The simulation results showed that loosening the soil by cutting roots to release pressure had a better loosening effect on the soil than traditional loosening and loosening the soil along the cracks. It improved the fluidity of the inner soil and reduced the disturbance of surface soil. Comparing the simulation results with field test, the results showed that the change trend of the loosening resistance of the tillage parts after the three loosening methods were consistent. The method of loosening the soil by cutting roots to release pressure had the smallest soil loosening resistance, the simulation result was 3 692. 75 N, and the field test result was 4 677. 84 N. The traditional loosening method had the highest loosening resistance, the simulation result was 5 348. 80 N, and the field test result was 6 489. 40 N. The loosening resistance of the method of loosening the soil along the cracks was between the two, the simulation result was 4 713. 33 N, and the field test result was 5 433. 24 N. The results showed that loosening soil by cutting roots to release pressure method had a better drag reduction effect. Field test results showed that soil loosening methods had a significant impact on work quality. In the soil layer with the same tillage depth, by comparing the traditional loosening and loosening the soil along the cracks, the soil compactness after loosening the soil by cutting roots to release pressure was decreased by 6.19% and 12.67%, respectively, and the mean soil bulk density was decreased by 1.19% and 3.16%, respectively. At the same time, loosening the soil by cutting roots to release pressure method caused the least disturbance to the surface soil and had a better soil loosening effect. The average values of the soil disturbance coefficient and soil bulkiness after the operation were 49.05% and 25.81%, respectively. The research results can provide an important basis for proposing soil scarification improvement technology for degraded Leymus chinensis grassland and optimizing the design of grassland scarification improvement equipment. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 44

Main heading: Soil testing

Controlled terms: Fertilizers  -  Soil quality  -  Stress relief

Uncontrolled terms: Degraded leymus chinensi grassland  -  Field test  -  Improvement technology  -  Leymus chinensis  -  Root cutting to relieve stress  -  Root cuttings  -  Soil disturbances  -  Soil loosening  -  Soil scarification  -  Work quality

Classification code: 1502.1.1.3   -  1502.1.1.4.3   -  214.1.1   -  483.1 Soils and Soil Mechanics  -  821.3 Agricultural Methods

Numerical data indexing: Force 2.40E+01N, Force 3.30E+01N, Force 4.00E+01N, Force 7.50E+01N, Force 8.00E+01N, Force 8.40E+01N, Percentage 1.19E+00%, Percentage 1.267E+01%, Percentage 2.581E+01%, Percentage 3.16E+00%, Percentage 4.905E+01%, Percentage 6.19E+00%

DOI: 10.6041/j.issn.1000-1298.2024.12.039

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

36. Optimization of High Specific Speed Mixed Flow Pump Impeller Based on Hydrofoils with Different Maximum Camber Positions

Accession number: 20245317615696

Title of translation: 基于不同最大拱度位置翼型的高比转数混流泵叶轮优化

Authors: Sun, Zhuangzhuang (1); Zhu, Yadong (1, 2); Zhang, Jiamin (1); Lu, Ning (1); Tang, Fangping (2); Chen, Songshan (2)

Author affiliation: (1) School of Mechanical Engineering, Yangzhou Polytechnic College, Yangzhou; 225100, China; (2) College of Hydraulic Science and Engineering, Yangzhou University, Yangzhou; 225029, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 249-256 and 305

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to increase the range of high-efficiency zones in high specific speed mixed pumps, three types of hydrofoil schemes with maximum camber positions of 0. 4 , 0.5 and 0. 6 were designed by using NACA four-digit airfoil camber lines superimposed with NACA66 thickness distribution. Based on the three hydrofoil schemes, the hydraulic performance of the mixed flow pump impeller with specific speed of 720 under multiple operating conditions was optimized. The research results indicated that after optimization, the weighted efficiency of the mixed flow pump impeller was increased by about 0.5 percentage points, expanding the operating range of the high efficiency zone of the mixed flow pump. The maximum efficiency of mixed pump impellers designed with different maximum camber positions of hydrofoils was not significantly different, the position of the maximum camber of the hydrofoil mainly affected the distribution range of the high-efficiency zone. As the position of the maximum camber moved backward, the high-efficiency zone range moved towards the vicinity of high flow and low head. Under the design flow condition, as the maximum camber position moved backward, the cavitation performance showed an improvement trend. When the maximum camber position was around 0. 4 times and 0. 6 times the chord length, it had a good inhibitory effect on the flow separation phenomenon near the inlet edge under low flow conditions and high flow conditions, respectively. When designing a mixed flow pump, the camber at the blade tip should be placed back and the blade root should be placed forward, which was beneficial for expanding the efficient range of the mixed flow pump. The research results can provide reference for the optimization design of fluid machinery under different operating requirements. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 24

Main heading: Impellers

Controlled terms: Cambers  -  Flow separation  -  Hydraulic equipment  -  Hydraulic machinery  -  Pumps

Uncontrolled terms: High specific speed  -  Higher efficiency  -  Hydraulic performance  -  Max camber position  -  Mixed flow pump  -  Mixed-flow pump impellers  -  Optimisations  -  Optimize design  -  Research results  -  Thickness distributions

Classification code: 1401.2   -  301.1   -  601.2 Machine Components  -  609.2   -  651 Aerodynamics

DOI: 10.6041/j.issn.1000-1298.2024.12.023

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

37. Simulation and Experiment on Whole-stem Sugarcane Seed Stripping System

Accession number: 20245317608673

Title of translation: 整秆式蔗种剥叶系统仿真与试验

Authors: Shen, Zhonghua (1); Cheng, Huqiang (1); Dong, Zhikang (1); Li, Han (1)

Author affiliation: (1) Key Laboratory of Advanced Manufacturing and Automation Technology, Education Department of Guangxi Zhuang Autonomous Region, Guilin University of Technology, Guilin; 541006, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 33-43

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Although existing sugarcane leaf strippers can effectively remove most sugarcane leaves, they mainly focus on the sugarcane for sugar extraction, without considering the damage to sugarcane bud, so they are unsuitable for sugarcane seed. To solve the problem of high bud damage rate in sugarcane leaf strippers, a whole-stem seed leaf stripping system was designed to conduct simulation analysis and experimental research. Firstly, a single-factor simulation experiment was performed on the whole-stem sugarcane seed stripping process by a virtual simulation platform to analyze the influences of the crushing mechanism, feeding and discharging mechanism, and stripping mechanism on the sugarcane seeds. Secondly, based on simulation analysis, a physical testing platform experiment was completed. According to the simulated experimental parameters, the quadratic regression universal rotation combination experiment was performed, and parameters were optimized. Finally, the optimal relevant operating parameters of the sugarcane seed stripping system were obtained: the flexible-rope-crushing-roller speed was 670r/min, the stripping-roller speed was 400r/min, the single row number of flexible rope crushing elements was 16, and the length of the flexible rope crushing elements was 330mm, the trash content of sugarcane seed stripping was 6.59%, and the sprout damage rate was 4.70%. Finally, a comparative experiment was performed between the sugarcane seeds stripped by the optimal parameters and those stripped by traditional leaf stripping machines. The experimental results showed that the germination rate of sugarcane seeds planted under the whole-stem sugarcane seed stripping system was 81.25%, which was higher than the 56.25% germination rate of sugarcane seeds stripped by traditional leaf stripping machines. These can effectively improve the survival rate of sugarcane sprouts and have practical significance and application prospects for the development of sugarcane. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 33

Main heading: Rope

Controlled terms: Bark stripping  -  Rollers (machine components)  -  Sugar cane

Uncontrolled terms: Bud damage  -  Damage rate  -  Germination rates  -  Leaf stripping machine  -  Optimisations  -  Optimization test  -  Roller speed  -  Simulation analysis  -  Sugarcane seed  -  Virtual simulations

Classification code: 209.2   -  213.4   -  601.2 Machine Components  -  821.5 Agricultural Wastes

Numerical data indexing: Angular velocity 1.1189E+01rad/s, Angular velocity 6.68E+00rad/s, Percentage 4.70E+00%, Percentage 5.625E+01%, Percentage 6.59E+00%, Percentage 8.125E+01%, Size 3.30E-01m

DOI: 10.6041/j.issn.1000-1298.2024.12.003

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

38. Optimization Design and Experimental Validation of Centrifugal Fan for Wuyi Rock Tea Shaking Machine

Accession number: 20250117628477

Title of translation: 武夷岩茶摇青机离心风机优化设计与试验

Authors: Ruan, Chengzhi (1, 2); Tao, Qiqi (1); Chen, Yiwei (1); Guo, Bo (1, 2); Qiu, Changdong (1, 2); Chen, Jiayou (3); Yang, Jim (1, 2)

Author affiliation: (1) School of Mechanical and Electrical Engineering, Wuyi University, Wuyishan; 354300, China; (2) Key Laboratory for Agricultural Machinery Intelligent Control and Manufacturing of Fujian Education Institutions, Wuyi University, Wuyishan; 354300, China; (3) College of Intelligent Manufacturing Engineering, Liming Vocational University, Quanzhou; 362000, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 480-490

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the performance of centrifugal fan for Wuyi rock tea shaking machine, the centrifugal fan impeller was optimally designed and experimentally verified by multi-objective genetic algorithm. Firstly, for the 38 groups of design samples, the Latin hypercube design method was used to optimize the number of impeller blades, the inner and outer diameter ratio of the impeller, the inlet mounting angle of the blades, the outlet mounting angle of the blades, the bending radius of the blades, and the inlet diameter of the blades. Then, the constructed least squares regression (LSR) and moving least square method (MLSM) response surface models were solved using the NSGA II multi-objective genetic algorithm, the Pareto solution set for the optimal relationship between fan airflow and fan efficiency can be obtained, and Spearman variable correlation analysis can be conducted. Finally, the effectiveness of the optimized design method in improving the shaking effectiveness of the actual equipment was verified through CFD numerical simulation and experiments. The results showed that the blade inlet mounting angle and outlet mounting angle had the greatest effects on the fan airflow, the impeller inner and outer diameter ratios and the blade outlet mounting angle had the greatest effects on the efficiency of fan, reaching a high degree of correlation. The optimal parameter combinations were as follows; the number of blades was 19, the ratio of the inner and outer diameters of the impeller was 0. 67, the installation angle of the blade inlet was 73. 86°, the installation angle of the blade outlet was 128. 74°, the bending radius was 25. 28 mm and the blade inlet diameter was 24. 95 mm. Compared with the prototype fan, the optimized fan air volume was increased by 381. 22 m /h, the efficiency of fan was increased by 4. 33 percentage points, the average water loss of the stem and leaves increased by 2. 05 and 3. 15 percentage points, respetively, and the average score of the sensory review of the tea was 91.4 points, which verified that the optimized design of the fan improved the quality of the whole machine for tea shaking. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 30

Main heading: Impellers

Controlled terms: Air intakes  -  Design aids  -  Gas turbines  -  Interpolation  -  Least squares approximations  -  Light transmission  -  Mountings  -  Pareto principle  -  Radial flow turbomachinery  -  Regression analysis   -  Structural dynamics  -  Time difference of arrival  -  Turbomachine blades

Uncontrolled terms: Bending radius  -  Centrifugal fans  -  Design method  -  Inner diameters  -  Installation angle  -  Mounting angles  -  Multi-objectives genetic algorithms  -  Optimized designs  -  Outer diameter ratios  -  Wuyi rock tea shaking machine

Classification code: 1007   -  1201.7   -  1201.9   -  1202.2   -  301.1.3   -  408 Structural Design  -  601.2 Machine Components  -  608.3   -  609.2   -  716.1 Information Theory and Signal Processing  -  741.1 Light/Optics  -  902.1 Engineering Graphics

Numerical data indexing: Size 2.20E+01m, Size 2.80E-02m, Size 9.50E-02m

DOI: 10.6041/j.issn.1000-1298.2024.12.046

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

39. Delayed Marginalization Visual Inertia SLAM Method Based on Point and Line Feature Fusion

Accession number: 20250117631450

Title of translation: 基于点线特征融合的延迟边缘化视觉惯性SLAM方法

Authors: Qi, Yongsheng (1, 2); Song, Jipeng (1); Liu, Liqiang (1, 2); Su, Jianqiang (1, 2); Zhang, Lijie (1, 2)

Author affiliation: (1) College of Electric Power, Inner Mongolia University of Technology, Hohhot; 010080, China; (2) Intelligent Energy Technology and Equipment Engineering Research Centre of College, Universities in the Inner Mongolia Autonomous Region, Hohhot; 010080, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 373-382

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: A delayed edge based visual inertial SLAM algorithm (DM-VI-SLAM) based on point line feature fusion was proposed to address the issues of low accuracy, perceptual degradation, and poor reliability of single sensor SLAM technology in complex environments, which made it difficult to accurately estimate camera trajectories. Firstly, a factor graph optimization model was employed, proposing a novel structure that taked the inertial measurement unit ( IMU ) as the primary system and vision as the auxiliary system. This structure introduced auxiliary system observation factors to constrain the biases of the IMU primary system and receiving IMU odometer factors to achieve motion prediction and fusion. Secondly, by adding point and line features in the front-end, a feature matching method based on the midpoint of a line segment was designed. A sliding window mechanism was added in the back-end to achieve historical state information backtracking, and a nonlinear joint optimization problem was constructed to improve matching accuracy. Finally, to accelerate the solution, a delayed marginalization strategy was introduced that allowed for the readvancement of the delay factor graph, thereby generating new and consistent linearization points to update the marginalization. By comparing with typical SLAM algorithms and verifying their effectiveness on EuRoC public datasets and real scenes, experimental results showed that the proposed algorithm had higher accuracy and reliability in complex high-speed motion scenes and low feature texture scenes. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 26

Main heading: Structural optimization

Controlled terms: Auxiliary equipment  -  Image segmentation  -  Motion analysis  -  Nonlinear programming  -  Shape optimization  -  SLAM robotics

Uncontrolled terms: Features fusions  -  Inertial measurements units  -  Line features  -  Marginalization  -  Multi-sensor fusion  -  Non-linear optimization  -  Point features  -  Pose-estimation  -  Simultaneous localization and mapping  -  SLAM algorithm

Classification code: 1106.3.1   -  1106.8   -  1201.7   -  731.5 Robotics  -  901 Engineering Profession

DOI: 10.6041/j.issn.1000-1298.2024.12.036

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

40. Named Entity Recognition of Apple Diseases and Pests Based on Dynamic Dictionary Features and CBAM

Accession number: 20250117621008

Title of translation: 融合动态词典特征和CBAM的苹果病虫害命名实体识别方法

Authors: Pu, Pan (1, 2); Liu, Yong (1); Zhang, Yue (1); Wang, Feiyi (1); Miao, Yuanshuang (1); Qian, Bo (1); Huang, Luwen (1, 3)

Author affiliation: (1) College of Information Engineering, Northwest A&F University, Shaanxi, Yangling; 712100, China; (2) Key Laboratory of Agrieultural Internet of Things, Ministry of Agrieulture and Rural Affairs, Shaanxi, Yangling; 712100, China; (3) Shaanxi Engineering Research Center for Intelligent Perception and Analysis of Agrieultural Information, Shaanxi, Yangling; 712100, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 333-343

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In the named entity recognition of apple diseases and pests, a entity recognition model was proposed to address the problems of insufficient semantic feature extraction for rare words and difficulties in distinguishing entities due to similar entity categories. This model integrated dynamic lexicon and convolutional block attention module (CBAM). Firstly, based on the bidirectional long short-term memory — conditional random field model (BiLSTM — CRF), a Channel attention module (CAM) was used to dynamically obtain lexicon Information for the words, and the four-corner code Information of Chinese characters was simultaneously fused to enhance the representation ability for rare words. Then after the sequence features Output by the sequence encoding layer, a parallel connection spatial attention (PCSA) module based on the spatial attention module (SAM) was added to improve the model’s ability to extract contextual Information. Finally, the model was validated and tested by using an apple disease and pest dataset which contained six major classes and 127 574 annotated characters. The results showed that the precision, recall, and Fl value could reach 95.76%, 92.46% and 94.08%, respectively, indicating a significant improvement in Performance compared with existing commonly used similar models, which achieved accurate recognition of agrieultural disease and pest named entities. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Fruits

Controlled terms: Character recognition  -  Semantics  -  Static random access storage

Uncontrolled terms: Apple disease  -  Apple disease and pest  -  Convolutional block attention module  -  Dynamic dictionaries  -  Dynamic embedding  -  Entity recognition  -  Lexicon  -  Named entity recognition  -  ON dynamics  -  Spatial attention

Classification code: 1101.2   -  1103.1   -  1106.8   -  821.5 Agricultural Wastes  -  903.2 Information Dissemination

Numerical data indexing: Percentage 9.246E+01%, Percentage 9.408E+01%, Percentage 9.576E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.032

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

41. Lightweight Design and Test of Cleaning Sieve for Combine Harvester

Accession number: 20250117619700

Title of translation: 联合收获机清选筛箱轻量化设计与试验

Authors: Ma, Zheng (1, 2); Li, Bihui (1); Song, Zhiqiang (1, 2); Liu, Yanbin (1, 2); Pan, Yu (1)

Author affiliation: (1) School of Agricultural Engineering, Jiangsu University, Zhenjiang; 212013, China; (2) Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, Jiangsu University, Zhenjiang; 212013, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 201-211

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The cleaning sieve is one of the core components of the combine harvester, which screens the threshed mixture through reciprocating motion. Focusing on the lightweight design of the cleaning sieve of the grain combine harvester, which has the problems of Overall weight bias and excess strength, based on the dynamics analysis of the cleaning sieve, the natural frequency and structural strength of the cleaning sieve in working condition were analyzed by using the equivalent static method. The maximum equivalent stress position and main stress distribution area were determined. The dynamic response was transformed into static response by using the equivalent static method. By minimizing the compliance and subject to constraints of structural strength and mass response, the topological optimization of the side wall of the cleaning sieve was conducted. Finally, nylon was chosen as a lightweight material for the design of the jitter plate structure. Based on the results of topological optimization, the main structural features were extracted for model reconstruction and dynamic analysis. The results showed that the maximum Variation of the first six natural frequencies of the optimized sieve box was 1. 68 Hz, and the maximum equivalent stress was decreased from 56. 59 MPa to 52. 46 MPa, resulting in a reduction of 7. 29%. The mass also was decreased from 75 kg to 66. 85 kg, representing a reduction of 10. 86%. Based on these results, an experimental platform was built by using the optimized sieve box, and strain tests and durability tests were conducted under actual working conditions. The test results verified that the optimized cleaning sieve met the strength and stiffness requirements for actual Operation, effectively improving the working Performance of the cleaning sieve. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 28

Main heading: Shape optimization

Controlled terms: Dynamic response  -  Plates (structural components)  -  Reconstruction (structural)  -  Structural dynamics  -  Structural optimization

Uncontrolled terms: % reductions  -  Cleaning sieve  -  Combine harvesters  -  Condition  -  Dynamics analysis  -  Equivalent stress  -  Lightweight design  -  Static method  -  Structural strength  -  Topological optimization

Classification code: 1201.7   -  405.2 Construction Methods  -  408 Structural Design  -  408.1 Structural Design, General

Numerical data indexing: Frequency 6.80E+01Hz, Mass 7.50E+01kg to 6.60E+01kg, Mass 8.50E+01kg, Percentage 2.90E+01%, Percentage 8.60E+01%, Pressure 4.60E+07Pa, Pressure 5.90E+07Pa to 5.20E+07Pa

DOI: 10.6041/j.issn.1000-1298.2024.12.018

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

42. Discrete Element Simulation Parameter Calibration and Experiment of Com Straw - Cow Manure Mixture

Accession number: 20250117619421

Title of translation: 玉米秸秆-牛粪混料离散元仿真参数标定与试验

Authors: Ma, Yongcai (1); Qi, Yan (1); Wang, Hanyang (1); Teng, Da (1); Chen, Jiaqi (1); Liu, Dan (2)

Author affiliation: (1) College of Engineering, Heilongjiang Bayi Agrieultural Vniversity, Daqing; 163319, China; (2) College of Civil and Hydraulic Engineering, Heilongjiang Bayi Agrieultural University, Daqing; 163319, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 441-450 and 504

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to improve the accuracy of parameters required in the discrete element eompression moulding Simulation process of corn straw and cow manure blends, a parameter calibration test on com straw — cow manure mixtures was carried out and the accuracy of the calibrated parameters was verified by using a combination of Simulation analysis and physical tests. The parameters with significant influence on the discrete elements of the blends were screened out through the Screening test; taking the stacking angle as the evaluation index, the Design-Expert Software was used to carry out the steepest-climbing experimental design and the Box — Behnken experimental design for the three parameters with significant influence, and the particle swarm optimisation (PSO) algorithm was applied for the parameter optimization, and the optimal parameter combinations were obtained as follows; corn straw — cow manure rolling friction coefficient was 0. 128, cow manure — cow manure rolling friction coefficient was 0. 320, and cow manure — cow manure JKR surface energy was 0. 033 J/m; the Simulation test was conducted under the conditions of this parameter combination, and the results showed that the relative error between the simulated stacking angle and the actual stacking angle was 1. 27%, and the relative error between the uniaxial eompression Simulation test and the maximum eompression displacement in the physical test was 2. 97%. The results can provide a reference for the discrete element Simulation of eompression moulding of corn straw — cow manure mixture. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Particle swarm optimization (PSO)

Controlled terms: Fertilizers  -  Linear programming  -  Manures  -  Molding  -  Nonlinear programming  -  Structural dynamics  -  Supersaturation

Uncontrolled terms: Corn straw — cow manure mixture  -  Corn straws  -  Cow manure  -  Discrete elements  -  Discrete-element simulations  -  Manure mixtures  -  Parameters calibrations  -  Particle swarm optimization algorithm  -  Physical tests  -  Stacking angle

Classification code: 1106   -  1201.7   -  1501.3   -  1502.1.1.3   -  408 Structural Design  -  801.3 Colloid Chemistry  -  821.3 Agricultural Methods  -  821.6 Farm Buildings and Other Structures  -  913.4 Manufacturing

Numerical data indexing: Energy 3.30E+01J, Percentage 2.70E+01%, Percentage 9.70E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.042

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

43. Mode Transformation Analysis of Spherical 7R Mechanism with Spherical 4R Loop Locking Mode

Accession number: 20250117631650

Title of translation: 含有球面4R环路锁定模式的球面7R机构模式变换分析

Authors: Liu, Wei (1); Liu, Hongzhao (2)

Author affiliation: (1) School of Electrical and Mechanical Engineering, Xi’an Polytechnic University, Xi’an; 710048, China; (2) Faculty of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an; 710048, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 530-538

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Mechanisms with motion and locking modes can meet the stiffness requirements under specific working conditions after being transformed into specific locking mode configurations. The geometric characteristics of the linkage curve of the spherical 4R mechanism was analyzed, and the correctness of the linkage curve equation of the spherical 4R mechanism was verified through numerical examples. A type of double loops spherical 7R mechanism with locking mode was designed by setting a spherical 3R motion chain in a folding position on the connecting rod of the spherical 4R mechanism. Using screw theory to analyze the instantaneous rotation axis of the connecting rod in a singular configuration of the spherical 4R loop, it was determined that the instantaneous rotation axis of the connecting rod in the spherical 4R loop was coplanar with the axis of the spherical 3R motion chain as a necessary condition for mechanism mode transformation. Using the spherical 4R loop as a generalized rotational pair, the acceleration of the double loops spherical 7R mechanism was analyzed, and the necessary condition for the mechanism mode transformation was obtained, which was that the tangent of the axodes of the connecting rod and the axis of the spherical 3R motion chain were coplanar under the corresponding mechanism configuration of the sharp point of the connecting rod curve in the spherical 4R mechanism loop. This kind of spherical 7R mechanism had lock-in mode. By analyzing the instantaneous rotation of the link in the loop of the spherical 4R mechanism with screw theory, the transformation of the motion mode of the mechanism can be determined. It had a certain application value in the analysis and design of multi-mode mechanism which can meet the requirements of motion and lock-in production operation transformation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 25

Main heading: Spheres

Controlled terms: Connecting rods  -  Curve fitting  -  Locks (fasteners)  -  Mathematical transformations  -  Rotation  -  Screws

Uncontrolled terms: Condition  -  Double-loop  -  Geometric characteristics  -  Lock-in  -  Locked mode  -  Mode transformation  -  Multiple modes  -  Rotation axes  -  Screw theory  -  Spherical double loop 7r mechanism

Classification code: 1201.14   -  1201.3   -  1201.9   -  1301.1.1   -  601.1 Mechanical Devices  -  601.2 Machine Components  -  605.2 Small Tools, Unpowered

DOI: 10.6041/j.issn.1000-1298.2024.12.050

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

44. Prediction of Nitrogen Content in Rice Leaves Based on DWT DE Transformation and AHA ELM Algorithm

Accession number: 20245317614074

Title of translation: 基于DWT-DE变换和AHA-ELM算法的 水稻叶片氮含量预测方法

Authors: Liu, Tan (1, 2); Wang, Wenqi (1); Li, Zimo (1); Qi, Yuan (1); Guo, Zhonghui (1, 2); Xu, Tongyu (1, 2)

Author affiliation: (1) College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang; 110866, China; (2) Liaoning Engineering Research Center for Information Technology in Agriculture, Shenyang; 110866, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 306-313

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In order to provide a rapid, non-destructive, and accurate prediction method for nitrogen content in rice using spectral data, focusing on northeast rice as the research object, hyperspectral data of rice in three growth stages were collected, and combined with indoor chemical experiments, aiming to improve the prediction accuracy and model interpretability of nitrogen content by establishing an inversion model for rice nitrogen content. The acquired hyperspectral data and corresponding nitrogen content of rice leaves were firstly preprocessed by using a low-pass filtering method. For the processed spectral data, a coupling discrete wavelet transform and first-order differential transform (DWT - DE transform) were used for dimensionality reduction, and compared with principal component analysis ( PC A) and discrete wavelet multiresolution decomposition methods. The dimensionality-reduced results were used as inputs, and the measured leaf nitrogen content was the output, to establish inversion models by using extreme learning machine (ELM) , particle swarm optimization support vector machine ( PSO - SVM) , and artificial hummingbird algorithm optimized extreme learning machine ( AHA - ELM ) , respectively, for predicting and validating rice leaf nitrogen content. The results showed that the AHA - ELM model established using the results of the coupling discrete wavelet and first-order differential transform had the highest prediction accuracy, which was superior to the ELM and PSO - SVM models. The determination coefficient R2 of the training set was 0. 806 4 , and the root mean square error RMSE was 0. 325 1 mg/g. The R2 of the validation set was 0. 791 5 , and the RMSE was 0. 362 0 mg/g. Therefore, the proposed AHA - ELM model established by DWT - DE transform had significant advantages in the rapid detection of rice nitrogen content, and can provide a good reference for precise variable fertilization in rice. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 31

Main heading: Discrete wavelet transforms

Controlled terms: Bioremediation  -  Dimensionality reduction  -  Emission control  -  Image reconstruction  -  Image retrieval  -  Image segmentation  -  Image texture  -  Image thinning  -  Multiresolution analysis  -  Support vector machines   -  Wavelet decomposition

Uncontrolled terms: Artificial hummingbird optimization  -  Coupled discrete wavelet transform and first-order differential transform  -  Differential transform  -  Discrete-wavelet-transform  -  Extreme learning machine  -  First-order differentials  -  HyperSpectral  -  Learning machines  -  Nitrogen content  -  Optimisations   -  Rice  -  Transform order

Classification code: 1101.2   -  1106.3.1   -  1201.3   -  1201.8   -  1502.1   -  1502.1.1.4.1   -  1502.4

Numerical data indexing: null 0.00E00null, null 1.00E00null

DOI: 10.6041/j.issn.1000-1298.2024.12.029

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

45. Technology and Equipment of Sugarcane Harvesting Mechanization Review

Accession number: 20250117631522

Title of translation: 甘蔗机械化收获技术与装备研究综述

Authors: Liu, Qingting (1); Huang, Yao (1); Jiang, Jiaoli (2); Wu, Tao (1)

Author affiliation: (1) College of Engineering, South China Agricultural University, Guangzhou; 510642, China; (2) Guangdong Agricultural Technology Extension Center, Guangzhou; 510515, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 1-21

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The lower rate of mechanized harvest of sugarcane was one of the key factors which affected the sustainable development of sugarcane industry in China. Suitable harvesting technology and equipment were the necessary conditions of promoting the development of sugarcane harvesting. The physical and chemical properties of sugarcane during the harvest window, the technical requirements of sugar mills and agronomy for mechanized harvesting, the technical route of machined harvesting, the key technologies and its device of sugarcane harvester, such as dividing and lifting, topping, knocking down, base cutting, conveying, chopping, removing impurities, material collected, and harvesting systems were reviewed. The existing problems of those key technologies and the applicability of domestic and imported harvesters in China were analyzed. China had formed a complete research and manufacturing system, and large, medium and small size sugarcane harvesters have been made. The research and development of sugarcane harvesting machinery in China had two obvious characteristics, one was the top-down research and development tasks and policy guidance, the other was that it was based on the foreign advanced technology.Its technology route of sugarcane harvester and its key technologies were both not innovative enough. The existing harvesters of home made and imported had poor adaptability in China.Their impurity content, field loss rate, stubble damage rate and soil compaction of fields were less acceptable to sugar mills and sugarcane farmers. The suitable harvesting technology and equipment should be developed based on the actual situation of sugarcane industry, sugarcane site and agronomic technology situation. In Yunnan Province, sugarcane was less lodged and its variety stem was brittle, the combined harvesting technology of sugarcane vertical conveying, leaf stripping and baling should be developed. In Guangxi and Guangdong Provinces, it is rainy weather in sugarcane harvest window, and its sugarcane was usually lodged badly. A multi-steps cooperative harvesting technology with knock-down and lying conveying whole stalk harvesting and centralized impurity removal technology should be developed. According to the characteristics of small size and narrow row space in rural sugarcane field, the technology of double-row harvesting should be developed.According to the characteristics of large farm suitable for large and medium machine operation, the agronomic integration technology of wide row spacing and fixed track operation should be developed. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 140

Main heading: Harvesters

Controlled terms: Chemical equipment  -  Compaction  -  Emotional intelligence  -  Fertilizers  -  Fruits  -  Sugar cane

Uncontrolled terms: Harvest windows  -  Key technologies  -  Low rates  -  Mechanisation  -  Research and development  -  Sugar mills  -  Sugarcane  -  Sugarcane harvesters  -  Technology and device of harvesting  -  Technology and equipments

Classification code: 1502.1.1.3   -  802.1 Chemical Plants and Equipment  -  821.2 Agricultural Chemicals  -  821.3 Agricultural Methods  -  821.5 Agricultural Wastes  -  903.2 Information Dissemination  -  913.4 Manufacturing

DOI: 10.6041/j.issn.1000-1298.2024.12.001

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

46. Design and Text of High - throughput Seed Mixing Device for Rapeseed and Wheat with Air-fed Seed Discharging System

Accession number: 20245317608654

Title of translation: 油麦兼用气送式排种系统高通量混种装置设计与试验

Authors: Liao, Yitao (1, 2); Wang, Chuanqi (1); Shi, Binbin (1); Wang, Lei (1); Liao, Qingxi (1, 2); He, Kaiwei (1)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 134-146

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the air-fed seed discharging system in the seed discharging volume increases in the seed mixing device is prone to seed reflux, clogging and other phenomena, resulting in the discharge system of high-speed sowing operation of poor adaptability of the problem, the design of a sudden expansion of the Venturi structure of the high-throughput seed mixing device was done, through the theoretical analysis to determine the diameter of the seed tube, the length of the mixing zone, the length of the cross-section of the seed inlet length of the structure of the key parameters. Fluent airflow field simulation results showed that when the wind speed was 12m/s, 15m/s and 18m/s, the minimum negative pressure at the throat of the seed mixing device with Venturi structure was -236Pa, -372Pa and -538Pa, respectively, and the minimum negative pressure at the pre-mixing area of the seed mixing device with abruptly expanding Venturi structure was -396Pa, -621Pa and -1007Pa, respectively, and the “Venturi effect” produced by abruptly expanding Venturi structure was better than that of ordinary Venturi structure. The results of DEM-CFD coupled simulation showed that about 12% of rape seeds bounced after collision with the extended part of the Venturi structure, and after collision, the seeds kept moving towards the mixing area, and there was no phenomena of reflux and blockage in both rape and wheat. The results of bench test showed that the seed mixing device of traditional Venturi structure showed seed reflux at the seed mixing flux of oilseed rape greater than or equal to 2.4g/s, seed reflux at the seed mixing flux of wheat greater than or equal to 60g/s and the coefficient of variation of the consistency of the rows’ displacements were increased significantly, and clogging occurred at the seed mixing flux was greater than or equal to 100g/s;the seed mixing device of the amplified Venturi structure had seed reflux at the mixing flux of oilseed rape smaller than or equal to 4.8g/s, wheat seed mixing flux less than or equal to 120g/s did not appear seed reflux, clogging and other phenomena, oilseed rape, wheat rows discharge consistency coefficient of variation was lower than 5.17%, 3.29%, the total discharge stability coefficient of variation was lower than 1.19%, 0.80%, to meet the oilseed rape, wheat seeding machine can be in the speed of 4~12km/h agronomic sowing requirements, the results of the study for the air-fed seeding system structure optimization can provide a reference. The results can provide reference for the optimization of the structure of the air-fed seed discharge system. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 32

Main heading: Crystallizers

Controlled terms: Cutting tools  -  Electric connectors  -  Hydraulic tools  -  Light velocity  -  Magnetic bearings

Uncontrolled terms: Air feeds  -  Air-feed seed discharging system  -  Coefficients of variations  -  High-throughput  -  Mixing devices  -  Mixing flux  -  Oil seed rape  -  Rapeseed and wheat  -  Seed mixing device  -  Venturi

Classification code: 1401.2   -  601.2 Machine Components  -  603.1 Machine Tools, General  -  605.1 Small Tools, Powered  -  704.1 Electric Components  -  741.1 Light/Optics  -  802.1 Chemical Plants and Equipment

Numerical data indexing: Mass flow rate 1.00E-01kg/s, Mass flow rate 1.20E-01kg/s, Mass flow rate 2.40E-03kg/s, Mass flow rate 4.80E-03kg/s, Mass flow rate 6.00E-02kg/s, Percentage 1.19E+00%, Percentage 1.20E+01%, Percentage 3.29E+00%, Percentage 5.17E+00%, Percentage 8.00E-01%, Pressure -1.007E+03Pa, Pressure -2.36E+02Pa, Pressure -3.72E+02Pa, Pressure -3.96E+02Pa, Pressure -5.38E+02Pa, Pressure -6.21E+02Pa, Size 4.00E+03m to 1.20E+04m, Velocity 1.20E+01m/s, Velocity 1.50E+01m/s, Velocity 1.80E+01m/s

DOI: 10.6041/j.issn.1000-1298.2024.12.012

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

47. Design and Experiment of Convex Ridge Surface Shaping Device for Rapeseed Direct Seeding

Accession number: 20245317614395

Title of translation: 油菜精量联合直播机凸垄厢面构建装置设计与试验

Authors: Liao, Yitao (1, 2); Wu, Anyang (1); Qin, Yonghao (1); Liao, Qingxi (1, 2); Ou, Yaohui (1); Zhang, Qingsong (1, 2); Li, Yuntong (1)

Author affiliation: (1) College of Engineering, Huazhong Agricultural University, Wuhan; 430070, China; (2) Key Laboratory of Agricultural Equipment in Mid-lower Yangtze River, Ministry of Agriculture and Rural Affairs, Wuhan; 430070, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 121-133

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: In response to the challenges encountered in the existing rice-rapeseed rotation area during the precision combined direct seeding bed preparation for rapeseed, which involves using rotary tillage drag plates to level the bed surface and a traction-type furrow opener plow to create furrows, issues such as uneven bed surface and unstable furrow patterns are prone to occur. To address these concerns, a construction process for a precision combined direct seeding bed with convex ridge surface for rapeseed was proposed. It involved rotary tillage for ridge formation and residue burial, enclosed furrow opening, active rotary compaction and shaping, and controlled furrow opening for precision seeding. To achieve this, a specialized device was designed, comprising a furrow opening plow, a rotary tillage and ridging knife assembly, a shaping mechanism, and a variable neck shaping roller. This integrated System enabled the formation and compaction of ridges and furrows, leading to convex-shaped planting beds. Furthermore, the System incorporated a circular furrow opener to create furrows while simultaneously ensuring controlled seeding depth. Following the requirements for furrow opening in rapeseed cultivation, a combination of furrow-opening plow units with distinct curved surfaces was designed. Taking into account the proposed bed construction prooess and soil movement patterns, the structural design of the variable neck shaping roller, the mechanical analysis, and the pressure control mechanism were performed. Orthogonal experiments were conducted through EDEM Simulation, and response surface analysis was performed. The stable box surface angle a and the maximum furrow wall angle ? were set as objectives. The optimal working parameters obtained were as follows: device forward speed was 3. 8 km/h, rotary tillage blade speed was 280 r/min, and shaping roller speed was 147 r/min. Field test results indicated that the device achieved stable ridge surface profiles and furrow shapes post-operation. The profiling component demonstrated effective pressure control, achieving a ridge surface inclination angle of 2.94° and a furrow wall inclination angle of 49.09°, with inclination stability coefficients exceeding 90%. The ridge surface evenness was 12. 31 mm, and the soil firmness stability coefficient was 91.77%. Both furrow depth and width stability coefficent exceeded 90%, with clear furrowed seed grooves and satisfactory seedling emergence. Tracking the furrow shape evolution throughout the rapeseed growth cycle revealed that during the winter and spring growth periods, the average furrow depth was decreased by 31. 68%, and the average furrow width was increased by 21. 65%, with no furrow wall collapse observed. The device’s quality of furrow formation, ridge surface shaping, pressure control, and planting depth control all met the requirements for rapeseed cultivation. The research result can provide valuable reference for the improvement and design enhancement of precision combined direct-seeding machines for rapeseed cultivation. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 29

Main heading: Compaction

Controlled terms: Convergence of numerical methods  -  Depth profiling  -  Pressure regulators  -  Rollers (machine components)  -  Seed  -  Structural analysis

Uncontrolled terms: Bed surface  -  Convex ridge surface  -  Depth control  -  Direct-seeding  -  Profiling mechanism  -  Rapeseed direct seeding  -  Rotary tillages  -  Seedbed preparation  -  Seeding depth  -  Seeding depth control

Classification code: 1201.9   -  408 Structural Design  -  601.2 Machine Components  -  732.1 Control Equipment  -  802 Chemical Apparatus and Plants; Unit Operations; Unit Processes  -  821.5 Agricultural Wastes  -  913.4 Manufacturing

Numerical data indexing: Angular velocity 2.4549E+00rad/s, Angular velocity 4.676E+00rad/s, Percentage 6.50E+01%, Percentage 6.80E+01%, Percentage 9.00E+01%, Percentage 9.177E+01%, Size 3.10E-02m, Size 8.00E+03m

DOI: 10.6041/j.issn.1000-1298.2024.12.011

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

48. Detection on Potato Black Heart Disease by Near Infrared Spectroscopy Based on Improved ResNet

Accession number: 20245317608705

Title of translation: 基于改进ResNet的马铃薯黑心病近红外光谱检测方法

Authors: Li, Xilong (1, 2); Han, Yafen (1, 2); Pan, Yuxuan (1, 2); Lu, Huangzhen (1, 2); Wang, Feiyun (1, 2); Lu, Chengxu (1, 2)

Author affiliation: (1) Chinese Academy of Agricultural Mechanization Sciences Group Co., Ltd., Beijing; 100083, China; (2) State Key Laboratory of Agricultural Equipment Technology, Beijing; 100083, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 470-479

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Potatoes are highly susceptible to internal defects such as black heart disease during storage, which seriously affects market value and food safety. To explore the problem of deep learning in mining the deep features of potato black heart disease spectral data, the near-infrared spectral data were two-dimensionalized, based on residual neural network (ResNet), convolutional block attention module (CB AM) was introduced to enhance the features, and a threshold processing module was added to remove the noise. The features were enhanced by introducing the CBAM, and the noise was removed by adding the thresholding module, which realized the rapid and nondestructive detection of black heart disease in potato. To explore the spectral two-dimensionalization method applicable to the detection of potato black heart disease, four methods, namely, Gramian angular field (GAF), Markov transition field (MTF), recurrence plot (RP) and wavelength-order conversion, were compared and analyzed. It was found that the three methods GAF, MTF and RP were better compared with wavelength-order transformation, and the best modeling effect was achieved after MTF processing, and the accuracy of the training set reached 99. 60%. By comparing the Performance differences of different models, it was found that the test set accuracy of the improved ResNet model was 97. 65%, which was better than that of partial least Squares discriminant analysis (PLS _ DA), support vector machines (SVM), MobileNet and ResNet by 5. 89, 7. 07, 3. 53 and 2. 36 percentage points, respeotively, and the traditional chemometrics methods PLS _ DA and SVM were not as effective as neural network models such as MobileNet and ResNet in modeling. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 35

Main heading: Markov processes

Controlled terms: Convolutional neural networks  -  Deep neural networks  -  Heart  -  Image coding  -  Image compression  -  Image segmentation  -  Image thinning  -  Near infrared spectroscopy  -  Support vector machines

Uncontrolled terms: Black hearts  -  Dimensionalization  -  Heart disease  -  Infrared: spectroscopy  -  Near Infrared  -  Near-infrared  -  Neural-networks  -  Potato black heart disease  -  Speetral data two-dimensionalization  -  Transition fields

Classification code: 101.3   -  103   -  1101.2   -  1101.2.1   -  1106.3.1   -  1202.1   -  1301.1.3.1

Numerical data indexing: Percentage 6.00E+01%, Percentage 6.50E+01%

DOI: 10.6041/j.issn.1000-1298.2024.12.045

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

49. Tillage Depth Control System for Double-bud Cane Section Transverse Planters

Accession number: 20245317608806

Title of translation: 双芽蔗段横向种植机沟深控制系统设计与试验

Authors: Li, Shangping (1, 2); Li, Xinzhi (1, 3); Wen, Chunming (1, 3); Li, Kaihua (1, 3); Li, Yang (1, 3); Ye, Yingmin (1, 3)

Author affiliation: (1) College of Electronic Information, Guangxi Minzu University, Nanning; 530006, China; (2) Province and Ministry Co-sponsored Collaborative Innovation Center of Canesugar Industry, Nanning; 530004, China; (3) Guangxi Key Laboratory of Intelligent Unmanned System, Intelligent Equipment for Universities, Nanning; 530006, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 22-32

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: Aiming at the problem of unstable tillage depth and unsuitable Operation during the furrowing process of the sugarcane double-bud cane section transverse planter developed in the previous stage in hilly areas, combining with the working characteristics of the transverse planter, a tillage depth monitoring System for the sugarcane transverse planter was designed, which consisted of a laser r?nge sensor, a pressure sensor and a single-chip microcomputer control System, and the relationship between the tillage depth of the rear plough and the load pressure of the cylinder was studied, so as to realize automatic control of the tillage depth by real-time monitoring of the tractor lifting hydraulic by real-time monitoring the tractor lifting hydraulic cylinder load pressure, tillage depth changes, and compared with the set tillage depth threshold, the automatic control of tillage depth was achieved through the control System. Firstly, through theoretical analysis and Simulink Simulation modelling, the motion Simulation analysis of the displacement relationship between the upper tie-bar and the lower tie-bar was carried out. The three-point Suspension load mode of the sugarcane transverse planter in the tillageing process was studied, and the theoretical model of the relationship between the displacement of the hydraulic lifting cylinder of the tractor and the tillage depth of the rear plough was established. Secondly, a microcontroller-based hydraulic control System was designed to build a test platform for the tillage depth monitoring System of the double-bud cane section transverse planter. Finally, the Performance verification test and multi-factor orthogonal test were carried out on the test platform to explore the main influencing factors of the tillage depth stability coefficient and the laws affecting the tillage depth control; the test data showed that the system’s regulation response speed was less than 1 s, and the coeffieients of the tillage depth stability for different tillage depths were all greater than 90%, which was in the r?nge of the setup, and the test results basically matched with the setup values, which verified that the tillage depth control procedure was reliability. Through the multi-factor orthogonal test, it can be seen in the interactive factors of hydraulic speed valve opening, set the value of tillage depth would have a significant impact on the stability coefficient of tillage depth, according to the results of the test when the speed valve opening was 0. 56, the soil moisture content of 27. 4%, set the tillage depth of 29. 6 cm, the highest coefficient of stability of the tillage depth was 95. 87%. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 20

Main heading: Tractors (truck)

Controlled terms: Agricultural robots  -  Control system stability  -  Fertilizers  -  Fruits  -  Hydraulic motors  -  Hydraulic rams  -  Hydraulic tools  -  Lyapunov methods  -  Sugar cane  -  Suspensions (components)   -  Tobacco  -  Tractors (agricultural)

Uncontrolled terms: Automatic control system for tillage depth  -  Automatic control systems  -  Hydraulic threshold control  -  Load pressure  -  Monitoring system  -  Real time monitoring  -  Sugar cane transverse planter  -  Test platforms  -  Threshold control  -  Tie bar

Classification code: 1201.6   -  1401.2   -  1502.1.1.3   -  601.3 Mechanisms  -  605.1 Small Tools, Powered  -  663.1 Heavy Duty Motor Vehicles  -  731.4 Control System Stability  -  731.6 Robot Applications  -  732.1 Control Equipment  -  821.2 Agricultural Chemicals  -  821.3 Agricultural Methods  -  821.5 Agricultural Wastes  -  961 Systems Science

Numerical data indexing: Percentage 4.00E+00%, Percentage 8.70E+01%, Percentage 9.00E+01%, Size 6.00E-02m, Time 1.00E00s

DOI: 10.6041/j.issn.1000-1298.2024.12.002

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.

50. Lightweight Cane Seedling Identification and Positioning Technology for Root Cane Replanting Machine

Accession number: 20245317618817

Title of translation: 宿根蔗补种机轻量化蔗苗识别与定位技术

Authors: Li, Shangping (1, 2); Zhang, Chao (1, 2); Zhang, Biao (3); Wen, Chunming (1, 2); Li, Kaihua (1, 2)

Author affiliation: (1) College qf Electronic Information, Guangxi Minzu University, Nanning; 530006, China; (2) Key Laboratory of Intelligent Unmanned System and Intelligent Equipment, Nanning; 530006, China; (3) College qf Mechanical Engineering, Guangxi University, Nanning; 530004, China

Source title: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery

Abbreviated source title: Nongye Jixie Xuebao

Volume: 55

Issue: 12

Issue date: December 2024

Publication year: 2024

Pages: 201-231

Language: Chinese

ISSN: 10001298

CODEN: NUYCA3

Document type: Journal article (JA)

Publisher: Chinese Society of Agricultural Machinery

Abstract: The oane replanting machine is a replanting device developed to solve the problem of lack of seedlings in the sugarcane field, and it is very important for the field Operation of the replanting machine to accurately identify and locate the cane seedlings. In order to solve the problem that it is difficult to accurately detect and locate cane seedlings in sugarseed field, a method for detecting and locating cane seedlings with binocular camera combined with improved YOLO v5 object detection algorithm was proposed. For object detection, an improved YOLO v5s network model was proposed YOLO v5s_P234_ SGG. Firstly, the pictures of cane seedlings were taken under different lighting and near and far conditions, and the data was preprocessed and annotated to construct the dataset of cane seedlings, and then the large target detection layer of the original YOLO v5 s network model was eliminated, and a small object detection layer was added to make the model better adapt to the recognition needs of small targets such as cane seedlings. Secondly, the SimAM attention mechanism was introduced into the backbone network to enhance the model’s attention to the key feature Information of the cane seedlings, and SlimNeck was introduced instead of the Neck network, which reduced the complexity of the model while maintaining sufficient accuracy and replacing the ordinary convolution module in the backbone network with the Ghost module, which significantly reduced the size of the model. Experimental results showed that the accuracy of the proposed method on the root cane seedling dataset reached 95. 8%, the recall rate reached 95. 2%, and the average aoouracy reached 97. 1%, compared with the original YOLO v5s network, the accuracy was increased by 3. 1 pereentage points, the reeall rate was increased by 2.6 percentage points, the average accuracy was increased by 3. 1 pereentage points, the model volume was decreased by 7. 7 MB, the number of parameters were decreased by 4 062 632, the FLOPs was decreased by 7. 8 X 10, and the detection time of a single image was decreased by 3. 7 ms. The results of the cane seedling positioning test showed that the average relative error of the binocular ranging and positioning algorithm was 0.97%, and the maximum relative error was 4.60%. The aecurate identification and ranging of sugarcane seedlings were successfully realized, which provided important real-time Information and decision-making support for subsequent agricultural intelligent Operations. ? 2024 Chinese Society of Agricultural Machinery. All rights reserved.

Number of references: 34

Main heading: Binoculars

Controlled terms: Sugar cane

Uncontrolled terms: Back-bone network  -  Binocular camera  -  Field operation  -  Identification and positioning of cane seedling  -  Identification technology  -  Lightweight  -  Network models  -  Positioning technologies  -  Root cane replanting machine  -  YOLO v5s

Classification code: 741.3 Optical Devices and Systems  -  821.5 Agricultural Wastes

Numerical data indexing: Percentage 1.00E00%, Percentage 2.00E+00%, Percentage 4.60E+00%, Percentage 8.00E+00%, Percentage 9.70E-01%, Time 7.00E-03s

DOI: 10.6041/j.issn.1000-1298.2024.12.004

Compendex references: YES

Database: Compendex

Data Provider: Engineering Village

Compilation and indexing terms, Copyright 2025 Elsevier Inc.