机构地区: 江西省通用技术工程学校江西九江330306
出 处: 《农机化研究》 2008年第8期182-183,186,共3页
摘 要: 数据挖掘是一种深层次的数据分析方法,是现代科学技术相互渗透与融合的必然结果。为此,阐述了数据挖掘技术的基本原理;并根据农业数据的特点,分析了数据挖掘技术在农业系统方面的应用;概述了农业专家系统的结构框架和设计基础;介绍了具有数据挖掘功能的农业生产决策支持系统的框架结构,为农业生产决策支持系统的研究指出了新的方向。 Data mining( DM) is an advanced data analysis method in deep level. This paper describes the basic principle of DM, and then presents its application situation in agricultural information processing. This paper summaries the existed problems in the application of DM in agriculture and possible solution as well. The framework and design foundation of agricuhural expert system were summarized. In the paper the structure of agricultural production decision support system have been brought forward. This system contains data warehouse and the structure and function for data mining, and it bring for ward the new direction for agricultural production decision support system.
关 键 词: 农业系统工程 数据挖掘 专家系统 决策支持系统
领 域: [自动化与计算机技术] [自动化与计算机技术] [农业科学]