孙晓明, 卢海燕, 卞立平, 刘贤金, 孙爱东. 基于登记信息构建的农药使用风险智能预警模型研究[J]. 农药学学报, 2021, 23(5): 1012-1023. DOI: 10.16801/j.issn.1008-7303.2021.0108
    引用本文: 孙晓明, 卢海燕, 卞立平, 刘贤金, 孙爱东. 基于登记信息构建的农药使用风险智能预警模型研究[J]. 农药学学报, 2021, 23(5): 1012-1023. DOI: 10.16801/j.issn.1008-7303.2021.0108
    SUN Xiaoming, LU Haiyan, BIAN Liping, LIU Xianjin, SUN Aidong. Study on intelligent early warning model of pesticide application risk based on registration information[J]. Chinese Journal of Pesticide Science, 2021, 23(5): 1012-1023. DOI: 10.16801/j.issn.1008-7303.2021.0108
    Citation: SUN Xiaoming, LU Haiyan, BIAN Liping, LIU Xianjin, SUN Aidong. Study on intelligent early warning model of pesticide application risk based on registration information[J]. Chinese Journal of Pesticide Science, 2021, 23(5): 1012-1023. DOI: 10.16801/j.issn.1008-7303.2021.0108

    基于登记信息构建的农药使用风险智能预警模型研究

    Study on intelligent early warning model of pesticide application risk based on registration information

    • 摘要: 农业生产过程中农药使用不当的现象普遍存在,易导致残留超标等风险。本研究利用大数据分析与人工智能技术,通过采集、清洗农药登记信息,挖掘风险指标数据,构建了农药安全使用规范数据库,并在此基础上建立了农药使用风险智能预警模型,以期降低农药使用风险,提高农产品质量安全。该模型可集成到农业生产管理系统和监管系统中,供农户和监管部门使用。当农户录入农事操作信息时,模型可根据用药记录智能识别出超范围、超剂量、超频次等不当用药操作和违反安全间隔期的采收操作,给出预警提示,将安全保障的窗口前移,从而实现产中实时预警、产后自动研判,为农业生产提供技术支撑,为监管部门提供决策参考。

       

      Abstract: The improper application of pesticides is widespread in the process of agricultural production, which may easily lead to safety risks such as excessive residues. This study collected and cleaned pesticide registration information, mined risk index data, and built a pesticide safety application specification database through big data analysis and artificial intelligence technology. On this basis a pesticide application risk intelligent early warning model was established, aiming to reduce pesticide application risk and improve agricultural product quality safety. The model could be integrated into the agricultural production management system and supervision system for use by farmers and supervision departments. Based on pesticide application records, when farmers filled agricultural operation information, the model could intelligently identify improper pesticide application operations such as over-range, over-rate, and over-frequency applications and harvest operations before the preharvest interval. Early warnings were immediately given, and the window of safety protection was moved forward to realize real-time early warning during production and automatic research and judgment after production, so as to provide technical support for agricultural production and decision-making reference for supervision departments.

       

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