Paper

Research on the Trend of Vegetable Safety Based on Logistic Regression Model


Authors:
Yongmei Fang; Shouhua Yu; Liwen Ling
Abstract
Vegetables are essential to people’s daily diet. The quality and safety of vegetable have a direct impact on people’s health. At the same time, it is an important factor of national economic development. Pesticide residue is one of the important factors that affect the quality and safety of vegetable. In this paper, Logistic regression model is applied to mining useful information from the limited original test data of vegetable and predicting the risk trend of pesticide residue of vegetable in the further. The result is that the security and pesticide residue of vegetable are unstable from July to November. There may be medium risk or high-risk situations in the same time in the future. The vegetables are safer, and the safe state is more stable from January to March. Vegetable pesticide residue is at a low level in the same time in the future. The result of paper is credible. The supervisors can make some decisions based on the result in case of the supervision of vegetable quality and safety in different periods.
Keywords
Pesticide Residue; Safety; Vegetables; Logistic; Risk
StartPage
40
EndPage
43
Doi
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