Classifying rapeseed varieties using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS)

文献类型： 外文期刊

第一作者： Lu, Yuzhen

作者： Lu, Yuzhen;Du, Changwen;Zhou, Jianmin;Yu, Changbing

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关键词： Rapeseeds;Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS);Variety classification;Partial least squares-discriminant analysis (PLS-DA);Support vector machines (SVM);Successive projections algorithm (SPA)

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

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收录情况： SCI

摘要： This study proposed a methodology for classification of rapeseed varieties using Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS). For this purpose, principal components analysis (PCA) was first used to reveal the separation of three varieties of rapeseeds, and then partial least squares-discriminant analysis (PLS-DA) and support vector machines (SVM) were employed for the classification task. The overall classification error rates (ERs) of prediction set were 7.5% and 0 for the models of PLS-DA and SVM, respectively. Furthermore, successive projections algorithm (SPA) was adopted to choose an appropriate variable subset as the inputs of PLS-DA and SVM. Both SPA-PLS-DA and SPA-SVM models gave improved predictive accuracy with significantly reduced model variables. The results of this study had showed the good performance of FTIR-PAS as a rapid, non-destructive and objective tool for classifying varieties of rapeseeds

分类号： S

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