Data mining and analysis of pesticide residue in vegetables based on Decision Tree algorithm

Vegetables are daily necessities of people. Pesticide residue is one of important factors affecting quality and safety of vegetables. Decision Tree algorithm is used to excavate the detection information of vegetables. The results show that there is high pesticide residue in leeks and cucumbers, there is lower level of pesticide residue of vegetables in Xinqiao, Yanda and Dashijie markets, there is high level pesticide residue from July to September. The result is certain credible袁can provide some security decisions for consumers and regulators.