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

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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Bibliographic Details
Main Authors: Weixin Ye, Tianying Yan, Chu Zhang, Long Duan, Wei Chen, Hao Song, Yifan Zhang, Wei Xu, Pan Gao
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Foods
Subjects:
hyperspectral imaging
pesticide residue
table grape
deep learning
non-destructive detection
Online Access:https://www.mdpi.com/2304-8158/11/11/1609

Internet

https://www.mdpi.com/2304-8158/11/11/1609

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