Optimization of diffuse reflectance spectroscopy measurements for direct and rapid screening of pesticides: A case study of spinach

Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy（2022）

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摘要

•DRS measurements were optimized for direct and rapid screening of pesticide residues.•Pre-processing DRS data is highly recommended before PCA.•Use of PCs scores as inputs to ML models improves the classification accuracy and speed.•SVM was found to be 8 times quicker than the NNET and RF models.

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关键词

Machine learning,Non-destructive analysis,PCA,Pesticide residues,Reflectance spectroscopy,Spectral preprocessing,Spectral modelling

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