基于决策树算法的蔬菜农药残留的数据挖掘与分析

    Advances and applications of earthworm vermicomposting in tropical agricultural wastes

    • 摘要: 蔬菜是人们日常消费的必需品,影响蔬菜质量安全的一个重要因素就是农药残留问题。利用决策树算法的数据挖掘技术,对蔬菜的检测信息进行挖掘,得到品种为韭菜、黄瓜的农药残留高;新桥市场、烟大市场和大世界市场的蔬菜农药残留水平较低;而7~9 月的蔬菜农药残留高。结果具有一定的可信度,为蔬菜消费者和安全监管者提供一定的决策依据。

       

      Abstract: This paper discussed the domestic and foreign research progresses on earthworm vermicomposting in tropical agricultural wastes, including choice of earthworm species, effect of agricultural waste types and key parameters of vermicomposting. The purpose was to analyze the feasibility and difficulties of vermicomposting. At last the paper focused on the research trend and application of vermicomposting in tropical areas.

       

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