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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++ algorithm, to establish the risk security level. Then the evaluation index value of the security risk model is predicted to determine the security risk level based on the deep learning model. The modeldoi:10.3390/foods11071061 pmid:35407150 pmcid:PMC8997839 fatcat:6u26b5baabcvlgovcl6zr4o4pe