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Position: Home > Articles > Study on WebGIS and Knowledge Model Based Decision Support System for Disease-pest-weed Management in Wheat Journal of Triticeae Crops 2009,29 (5) 200-206

基于WebGIS与知识模型的小麦病虫草害管理决策支持系统研究

作  者:
李凤菊;刘小军;姜海燕;曹卫星;朱艳
单  位:
南京农业大学/江苏省信息农业高技术研究重点实验室
关键词:
小麦;病虫草害管理;WebGIS;知识模型;决策支持系统
摘  要:
为给小麦病虫草害管理提供远程预测和咨询服务,通过分析和提炼小麦病虫草害管理方面的最新研究结果和信息,根据小麦病虫草害的发生规律,结合小麦栽培管理知识模型以及经济信息,构建了小麦病虫草害管理模型;并运用软件工程的思想,以WebGIS为空间信息管理平台,结合MS-SQL Server数据库技术,建立了基于B/S结构的网络化小麦病虫草害管理决策支持系统。该系统实现了用户管理、地图操作、病虫草害管理、智能学习、农药查询以及帮助等功能。以江苏省为案例区,对系统进行了测试与检验,结果表明,该系统能根据不同地域内小麦病虫草害发生的实际情况,预测其对小麦的危害程度并生成适宜的防治措施,从而为小麦病虫草害管理提供了远程预测和决策咨询的服务工具。
译  名:
Study on WebGIS and Knowledge Model Based Decision Support System for Disease-pest-weed Management in Wheat
作  者:
LI Feng-ju,LIU Xiao-jun,JING Hai-yan,CAO Wei-xing,ZHU Yan (Jiangsu Key Laboratory for Information Agriculture,Nanjing Agricultural University,Nanjing,Jiangsu 210095,China)
关键词:
Wheat disease-pest-weed management;WebGIS;Knowledge model;Decision support system
摘  要:
By analyzing and abstracting the new research data on wheat disease-pest-weed management,further combining with the wheat cultivation management knowledge model and economy information,a wheat disease-pest-weed management model was developed based on the generated rule of disease-pest-weed.Moreover,by using the principle of software engineering with WebGIS as spatial information management platform,combining with MS-SQL Server database technology and Browser/Server network structure,the decision support system of wheat disease-pest-weed management was developed.The system realized the functions of user management,map handling,disease-pest-weed management,intelligent study,pesticide search and system help,etc.Case studies on the system in Jiangsu province indicated system could forecast the harm degree of wheat disease-pest-weed,make the relevant prevention methods based on their factual generated conditions in different zones,and provide a service platform of long-term forecast and decision making counseling for wheat disease-pest-weed management.

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