基于GIS牧草种植管理专家系统的分析与设计

介绍了牧草种植管理专家系统 (Expert System, ES)的结构体系与设计思路.系统基于地理信息系统 (GIS)、数据库管理系统(SQL server),建立以遥感图像数据、土壤养分数据、专题地图矢量数据、自然地理条件因子等为主体的数据库;由专业经验及领域知识建立了决策库;由相关模型建立模型库,将这4个库通过程序代码有机的整合在一起,形成4库一体化专家系统结构.实现了在牧草种植地区草种信息咨询服务,牧草种植优化配置分析,适宜性评价及预测预报,退耕还草的空间分布及其面积的估测等功能.

Analysis and design of GIS based expert system for pasture growing management

The general structure and design thought of the expert system for pasture growing management is introduced. For this expert system, based on GIS and the SQL server database management system, the principal part of the database includes remotely sensed image data, soil nutrient data, geographic vector data, and natural geographic condition factors. Professional experience and knowledge was used to establish the decision-making base. Related models were used to establish the model base. Four bases were combined in the expert system. For pasture growing areas it provides functions including pasture species information consultation, pasture growing optimization analysis, suitability appraisal and forecasting, and spatial distribution and area evaluation for the retirement of cultivated land to grassland.