摘要
以智能施肥系统为研究对象,对智能施肥系统的技术应用过程和施肥数据信息的参数统计进行分析,利用数据挖掘技术建立施肥系统的空间决策过程以及系统数据库。分析对比结果表明:该智能施肥系统能够以作物生长过程中的实际化肥需求和施肥量精确控制为目标,将作物生长环境和生长状态信息与知识库数据进行对比,形成智能施肥精确控制决策,达到施肥种类和施肥量精确控制的目的。
This paper takes the the intelligent fertilization system as the research object,analyzes the application process of the intelligent fertilization system and the parameter statistics of the fertilization data information,and establishes the spatial decision-making process and system database of the fertilization system by using data mining technology.The analysis and comparison data show that the intelligent fertilization system can take the actual fertilizer demand and fertilizer amount precise control in the process of crop growth as the goal,at the same time,the information of crop growth environment and growth state is compared with the data of knowledge base to form the intelligent fertilization precise control decision,so as to achieve the purpose of fertilizer type and fertilizer amount control.
作者
刘敬成
Liu Jingcheng(Deyang Urban Rail Transit Vocational College,Deyang 618400,China)
出处
《农机化研究》
北大核心
2022年第9期148-151,共4页
Journal of Agricultural Mechanization Research
基金
四川省教育厅课题(17ZA0234)。
关键词
智能施肥系统
数据挖掘
知识库
数据库
intelligent fertilization system
data mining
knowledge base
database