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针对作物推荐施肥系统中知识与数据紧密结合、模块固化的缺点,提出基于知识库思想的施肥决策系统实现方法,通过采用知识库作为区域实体事实数据与程序代码的接口,依托推理机实现施肥知识与系统的有机集成,解决施肥决策系统常面临的可扩展、可自定义等需求。该文对施肥知识库与数据实体的相互关系、施肥知识分类、表达、存储以及应用设计等进行了详细讨论。应用该思想设计开发施肥系统,能够较好地模拟现实中的施肥决策过程,目前在实践中已得到较好的应用。
According to the shortcomings of the combination of knowledge and data in crop recommendation fertilization system and module solidification, a method of fertilization decision-making system based on knowledge base is put forward. By using knowledge base as the interface between the factual data and program code of regional entity, fertilization knowledge Integration with the system to solve the fertile decision-making system often faced by the scalable, customizable and other needs. This paper discusses in detail the relationship between fertilization knowledge base and data entity, fertilization classification, expression, storage and application design. Applying this idea to design and develop fertilization system can well simulate the fertilization decision-making process in reality and has been well applied in practice.