Detection of heavy metal lead in lettuce leaves based on fluorescence hyperspectral technology combined with deep learning algorithm.

Zhou, Xin; Sun, Jun; Tian, Yan; Yao, Kunshan; Xu, Min

Zhou, Xin; Sun, Jun; Tian, Yan; Yao, Kunshan; Xu, Min.

Affiliation

Zhou X; School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China. Electronic address: 862218958@qq.com.
Sun J; School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China. Electronic address: sun2000jun@sina.com.
Tian Y; School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China.
Yao K; School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China.
Xu M; School of Electrical and Information Engineering of Jiangsu University, Zhenjiang 212013, China.

Spectrochim Acta A Mol Biomol Spectrosc ; 266: 120460, 2022 Feb 05.

Article in En | MEDLINE | ID: mdl-34637985

Subject(s)

Deep Learning; Metals, Heavy; Algorithms; Lead; Least-Squares Analysis; Lactuca; Plant Leaves; Technology

Key words

Deep learning; Fluorescence hyperspectral imaging; Lead; Lettuce; Non-destructive testing

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Metals, Heavy / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Spectrochim Acta A Mol Biomol Spectrosc Journal subject: BIOLOGIA MOLECULAR Year: 2022 Document type: Article

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