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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 （ Ｉ Ｄ Ｓ Ｗ Ｍ ）。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， 逆向推理机制进行推理。建立了知识库 （ Ｋ Ｂ）、模型库 （ Ｍ Ｂ）、数据库 （ Ｄ Ｂ）、推理机 （ Ｉ Ｅ） 和人机界面。系统以 Ｗ ｉｎｄｏｗ ｓ 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， 以及动态调控小麦的生育进程。基于生长模型的小麦管理智能决策系统将模型的预测功能与专家系统的逻辑推理相结合， 增加了指导生产的准确性和科学性。
By using the principle of knowledge engineering and information technology, wheat growth model and expert system are combined to establish a wheat management intelligent decision-making system based on growth model (I D S W M). The system applies meta-level control, pattern matching and other strategies, using generative rules to express expert knowledge and reverse reasoning mechanism. K B, M B, D B, I E, and HMI are built. System W indow s as the application platform, the integrated use of reasoning, prediction, interpretation and other mechanisms to help users design cultivation and management programs to answer cultivation techniques, and dynamically control the process of wheat growth. The wheat management intelligent decision-making system based on the growth model combines the predictive function of the model with the logical reasoning of the expert system to increase the accuracy and scientificness of guiding the production.