摘要
农业领域的专家知识多是描述性和经验性的知识,难以进行精确数学描述,这给农业决策支持系统的构建带来了一定的困难。本文介绍了采用数据库技术和数据挖掘技术构建的温室蔬菜栽培决策支持系统。该系统建立了数据库来记录作物生长过程和温室环境等有关数据,然后通过数据挖掘技术从数据库中获得新的农业知识,以丰富决策支持系统的知识库。在系统的实现过程中,采用了面向对象的编程方法,使软件具有良好的可扩展性,并具有良好的人机交互功能。
Most knowledge from specialists in the area of agriculture is of description and experience.This kind of knowledge can be hardly described with mathematics model. This leads to the difficulties for the design of Decision Support System (DSS) in the area of agriculture.This paper presents the design of DSS for vegetable planting in greenhouse based on database and data mining technology. The database is set up for memorizing the data of the growing process of vegetable and the environment of the greenhouse in the DSS. Then the data mining technology is introduced into the system to find out potential new knowledge to enlarge the repository of the DSS.As objectoriented technology is used for realizing the system,the system has favorable expansibility and human computer interaction function.
出处
《微计算机信息》
北大核心
2007年第3期169-170,189,共3页
Control & Automation
基金
教育部高等学校博士点基金资助项目(2003007034)
