文章摘要
Data mining and analysis of pesticide residue invegetables based on Decision Tree algorithm
  
DOI:
Author NameAffiliation
吕婷婷1,孙晓宇2,刘闯3,周翔1 1、中国科学院。感与数字地球研究所北京1001012、国家海洋环境预报中心北京100081 3、中国科学院地理科学与资源研究所北京100101 
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Abstract:
      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.
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