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Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy.

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第一作者： Guolong,Shi

第一单位： School of Information and Computer, Anhui Agricultural University, Hefei, China.;School of Electrical Engineering and Automation, Wuhan University, Wuhan, China.

作者： Guolong,Shi ^[1] ; Xinyi,Shen ^[2] ; Huan,Ren ^[2] ; Yuan,Rao ^[3] ; Shizhuang,Weng ^[4] ; Xianghu,Tang ^[5]

作者单位： School of Information and Computer, Anhui Agricultural University, Hefei, China.;School of Electrical Engineering and Automation, Wuhan University, Wuhan, China. ^[1] School of Information and Computer, Anhui Agricultural University, Hefei, China. ^[2] School of Information and Computer, Anhui Agricultural University, Hefei, China.;Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Hefei, China. ^[3] National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei, China. ^[4] School of Information and Computer, Anhui Agricultural University, Hefei, China.;Institute of Solid State Physics, Hefei Institutes of Physical Science (HFIPS), Chinese Academy of Sciences, Hefei, China. ^[5]

关键词 fruit pesticide residues kernel principal component analysis non-linear signal processing radial basis function surface-enhanced Raman spectroscopy

DOI 10.3389/fpls.2022.956778

PMID 35928706

发布时间 2022-08-06

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