摘要
针对目前病虫害预测预报方法单一、适用面窄,设计并实现了一个基于数据挖掘的综合植保预测系统。系统结合数据仓库技术,采用分类、聚类、关联、时序搜索等多种挖掘模式,对多方面的植保数据进行分析、建模,达到预测的目的。
Aiming at the single method of forecasting plant disease and insect and its poor application,in the paper we designed and realized an integrated plant protection forecast system based on data collection.The system was combined with the data warehouse technology and multi collection pattern,such as classification,clustering,association,time-sequence search,etc.The plant protection data of multiform could be analyzed and then a forecasting report was made.
出处
《安徽农业科学》
CAS
北大核心
2008年第12期5141-5143,5202,共4页
Journal of Anhui Agricultural Sciences
基金
国家十一五科技支撑计划项目(2006BAD10A14)
国家自然科学基金项目(60774096)
国家863计划项目(2006A-A10Z237)
安徽理工大学博士
硕士基金项目
关键词
数据挖掘
数据仓库
植保
预测
Data collection
Data warehouse
Plant protection
Forecast
