基于2DFT的植物叶片萎蔫程度与微环境因素相关性研究

Correlation between Wilting Index of Plant Morphology Defined by 2DFT Spectrum and Micro-environmental Factors

摘要:

在基于激光斜射测距原理的3D扫描装置实时获取的植株3D图像中,提取二维傅里叶（2DFT）谱中直流分量作为萎蔫指数来定量研究植物的萎蔫程度，采用西葫芦、葫芦、南瓜及秋葵4种植物的嫩叶期体态变化检验了二维傅里叶萎蔫指数与萎蔫程度的相关性，结果表明：二维傅里叶谱的直流分量（萎蔫指数）与萎蔫程度具有较好的相关性，R2达到0.82以上。在此基础上，运用SPSS软件建立了二维傅里叶谱叶片萎蔫指数与环境饱和水气压差及光合有效辐射系数的多元线性回归统计模型，可作为亏水胁迫程度的定量化指标。

Abstract:

Wilting is one of life features of plants responding to drought stress. Early identification of plant wilting is of importance for effective use of water in crop production. For this purpose, a laser scanner based on the principle of triangulation project was used to obtain 3D images of plants and the DC component of 2DFT was extracted as a wilting index. Four species, including zucchini, gourd, pumpkin and okra, were tested. The experimental results demonstrated that this index could identify the early wilting for each species and has a good linear correlation with the wilting degrees (R2＞0.82). In addition, the statistical models of multiple linear regression, which relates the wilting index to DVPD and the solar effective radiation, was proposed; and it can be used as the qualitative index of plant water deficit stress degree.