Abstract:Unmanned farm will be the ultimate form of rice and oil rape cultivation in the rice oil rape rotation area in the middle and lower reaches of the Yangtze River in China. By analyzing the production mode, implement type and operation path planning requirements of unmanned farming in rice and oil rape rotation, intelligent farm implement operation and maintenance software for unmanned farming was designed based on the Android application framework, including modules of plot management, implement attribute management and path planning for the path requirements of the field operation process of typical operation links of unmanned farming for rice and oil rape rotation cultivation. On the basis of the existing algorithms of the group, focusing on designing algorithms for operation path planning in two typical processes, namely integrated rice harvesting and rapeseed sowing and paddy ploughing, and the field operation path planning algorithms coded in Python beforehand was called through the mixed programming of Chaquopy plug-in. The results of simulation test and field test showed that the designed and developed Android software was stable and reliable, with good human computer interaction, and path planning algorithms were able to provide effective operation paths for different implements and common quadrilateral plots, and the operation time of the single field operation path planning algorithm ranged from 29 ms to 1 898 ms, and the computational efficiency and rationality of the paths met the needs of unmanned production of typical operation links in the real application. The computational efficiency and path reasonableness met the needs of unmanned production in typical operations, providing theoretical and technical support for the construction of unmanned farms in the middle and lower reaches of the Yangtze River for rice and oil rape rotations.
