Detection of Pesticide Residue Level in Grape Using Hyperspectral Imaging with Machine Learning

Rapid and accurate detection of pesticide residue levels can help to prevent the harm of pesticide residue. This study used visible/near-infrared (Vis-NIR) (376–1044 nm) and near-infrared (NIR) (915–1699 nm) hyperspectral imaging systems (HISs) to detect the level of pesticide residues. Three differ...

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Detalles Bibliográficos
Autores principales: Ye, Weixin, Yan, Tianying, Zhang, Chu, Duan, Long, Chen, Wei, Song, Hao, Zhang, Yifan, Xu, Wei, Gao, Pan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180647/
https://www.ncbi.nlm.nih.gov/pubmed/35681359
http://dx.doi.org/10.3390/foods11111609

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9180647/
https://www.ncbi.nlm.nih.gov/pubmed/35681359
http://dx.doi.org/10.3390/foods11111609

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