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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Detalles Bibliográficos
Autores principales: Jiang, Tongqiang, Liu, Tianqi, Dong, Wei, Liu, Yingjie, Zhang, Qingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997839/
https://www.ncbi.nlm.nih.gov/pubmed/35407150
http://dx.doi.org/10.3390/foods11071061

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997839/
https://www.ncbi.nlm.nih.gov/pubmed/35407150
http://dx.doi.org/10.3390/foods11071061

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