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

Study on WebGIS and Knowledge Model Based Decision Support System for Disease-pest-weed Management in Wheat

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。

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-pestweed. Moreover, by using the principle of software engineering with WebGIS as spatial information man- agement 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 inJiangsu 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.