小麦管理智能决策系统的设计与实现

运用知识工程和信息技术原理，将小麦生长模型与专家系统相结合，建立一个基于生长模型的小麦管理智能决策系统（ＩＤＳＷＭ）。系统应用元级控制、模式匹配等策略，采用产生式规则表达专家知识，逆向推量机制进行推理。建立了知识库（ＫＢ）、模型库（ＭＢ）、数据库（ＤＢ）、推理机（ＩＥ）和人机界面。系统以Ｗｉｎｄｏｗｓ为应用平台，综合运用推理、预测、解释等机制帮助用户设计栽培管理方案，解答栽培技术问题，以及动态调控

Design and implementation of an intelligent decision-making system for wheat management

Using knowledge engineering and information techniques,a model based intelligent decision making system for wheat management(IDSWM)was developed by integrating the advantages of crop model and expert system.Meta controlling and pattern matching techniques were used,expert knowledge was expressed with production rules and inference was made through backward chain and forward chain with depth first search.The system was developed on the platform of windows and is composed of a knowledge base(KB),a model base(MB),a database(DB),an inference engine(IE)and a user interface.The IDSWM was designed to help agronomists and farmers to make strategic and tactical decisions,to dynamically regulate the growth of wheat,and to answer the management questions in wheat production.The IDSWM combines the prediction function of the model with logic inference function of the expert system,hence making crop production practice more accurate and scientific.