Security Risk Level Prediction of Carbofuran Pesticide Residues in Chinese Vegetables Based on Deep Learning

Security Risk Level Prediction of Carbofuran Pesticide Residues in Chinese Vegetables Based on Deep Learning

The supervision of security risk level of carbofuran pesticide residues can guarantee the food quality and security of residents effectively. In order to predict the potential key risk vegetables and regions, this paper constructs a security risk assessment model, combined with the k-means++ algorit...

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Bibliographic Details
Main Authors: Tongqiang Jiang, Tianqi Liu, Wei Dong, Yingjie Liu, Qingchuan Zhang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Foods
Subjects:
security risk assessment
carbofuran
vegetables
security risk level prediction
deep learning
Online Access:https://www.mdpi.com/2304-8158/11/7/1061

Internet

https://www.mdpi.com/2304-8158/11/7/1061

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