数据挖掘技术在智能灌溉决策系统中的应用  

Application of Data Mining Technology in Intelligent Irrigation Decision System

作　　者：白俊[1] Bai Jun(Beijing Institute of technology,Beijing 101400,China)

机构地区：[1]北京京北职业技术学院,北京101400

出　　处：《农机化研究》2022年第9期247-250,259,共5页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(60973011)。

摘　　要：以作物生长过程中灌溉施肥过程为研究对象,通过对用水量平衡关系及施肥需求量进行分析,利用数据挖掘技术结合作物生长知识数据建立智能决策系统数据库,并使用该系统在黄瓜种植区域内进行验证。试验数据表明:智能决策系统生成的灌溉量指令与计算所获得的灌溉量参数模型基本相符,受土壤内微量元素含量影响,施肥量决策指令与计算参数模型之间存在一定的偏差量,可根据作物的生长状态和环境参数进行指令调整。该智能决策系统能够根据不同时期的生长需求进行作物灌溉及施肥,为农业生产提供科学依据,实现了可持续发展。This paper takes the process of irrigation and fertilization in the process of crop growth as the research object,through the analysis of water consumption balance and fertilization demand,using data mining technology combined with crop growth knowledge data to establish an intelligent decision system database.The system was verified in Cucumber Planting area.The experimental data show that the irrigation quantity instruction generated by the intelligent decision system is basically consistent with the irrigation quantity parameter model obtained by calculation.Affected by the content of trace elements in soil,there is a certain deviation between the fertilization amount decision-making instruction and the calculation parameter model,and it can be indicated according to the growth status of crops and environmental parameters Make adjustments.The intelligent decision-making system can carry out crop irrigation and fertilization according to the growth needs of different periods,provide scientific basis for agricultural production and realize sustainable development.

关 键 词：水肥灌溉 智能决策 数据挖掘 数据库 

分 类 号：S274.3[农业科学—农业水土工程]