利用高光谱图像技术对菠菜叶片上不同浓度乐果农药残留进行鉴别

摘要：以含有不同浓度乐果的菠菜叶片为研究对象，探讨基于高光谱成像和机器学习算法对含有不同浓度乐果农药残留 的菠菜叶片进行鉴别的可行性。利用高光谱成像系统扫描900~1700mm波段范围的高光谱图像，利用ENVI选取叶片的 感兴趣区域（（ DOIs），并采用多重散射校正（（ MSC）进行校正。利用主成分分析（（ PCA）对光谱数据进行分析，结果表明 PCA可以在视觉层面有效区分不同浓度的菠菜样品。另外，将卡方检验特征选择算法分别与支持向量分类（（ SVC）、K最 近邻（KNN）、随机森林算法（RF）、线性判别分析（LDA）相结合。选取 10 倍交叉验证的预测精度的均值与标准差作 为评价方法，经比较得出卡方检验结合LDA为最优模型，选取的特征波长分别为1445.8、1449、1452.3、1455.5、1458.7、 1462、1465.2、1468.4nm，模型的预测精度和标准差分别为0.997、0.008。结果表明，基于高光谱成像可以准确识别含有 不同浓度乐果农药残留的菠菜叶。

关键词：高光谱成像，菠菜叶，乐果残留，农药残留。

期刊：ScienceDirect

DOI：10.1016/j.ifacol.2018.08.104

设备：GaiaSorter

Identification of Different Concentrations Pesticide Residues of Dimethoate on Spinach Leaves by Hyperspectral Image Technology

Abstract：Taking spinach leaves with different concentrations of dimethoate as the research object, the feasibility of identifying spinach leaves containing different concentrations of dimethoate pesticide residues based on hyperspectral imaging and machine learning algorithms was discussed. The band range of hyperspectral images between 900 to 1700mm were scanned by hyperspectral imaging system. The region of interest (DOIs) of the leaves were selected by ENVI and corrected by multiple scatter correction (MSC). The principal component analysis (PCA) was used to analyze the spectral data, and the results showed that the PCA can effectively discriminate spinach samples with different concentrations at the visual level. In addition, the chi-square test feature selection algorithm was combined with support vectors classification (SVC), K nearest neighbor (KNN), random forest algorithm (RF), and linear discriminant analysis (LDA) respectively. The average and standard deviation of the prediction accuracy of the 10- fold cross-validation was chosen as evaluation methods. By comparison, chi-square test combined with LDA was the optimal model and the selected characteristic wavelengths were 1445.8, 1449, 1452.3, 1455.5, 1458.7, 1462, 1465.2 and 1468.4nm. The prediction accuracy and standard deviation of the model were 0.997, 0.008. The results showed that spinach leaves containing different concentrations of dimethoate pesticide residues could be accurately identified based on hyperspectral imaging.

Keywords：hyperspectral imaging, spinach leaves, dimethoate residue, pesticide residues.