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基于模糊推理的芒果病虫害诊断系统研究

Mango Disease and Pest Diagnosis Expert System Based on Fuzzy Reasoning
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摘要 为了满足实际病虫害诊断对专家系统的需求,根据芒果病虫害特征诊断与防治的特点,结合芒果病虫害的相关信息,基于案例模糊推理的推理机制和结构框架,以VS2008和SQL Server 2000为开发工具,建立了芒果病虫害诊断系统的知识库规则库和案例库,并设计了推理机制,通过专家系统技术和计算机技术构建了面向农户的数字化芒果病虫害诊断系统。系统的实施对于推广植保知识、指导农户科学防治芒果病虫害有一定的现实意义。 In order to meet the actual request of disease and pest diagnosis expert system, according to the characteristics and requirements of the diagnosis and prevention of mango diseases and pests, combined with the information of mango diseases and pests, case-based on fuzzy inference mechanism and structural framework, based on the development tools of VS2008 and SQL Server 2000, this paper establishes the case base and rule base of mango diseases and pests diagnosis system, and it develops the mango diseases and pests diagnostic system combined with the inference engine. The implementation of the system plays an active role in promoting plant protection knowledge and guiding farmers to scientifically control mango diseases and pests.
出处 《热带农业科学》 2013年第3期54-59,共6页 Chinese Journal of Tropical Agriculture
基金 中央级公益性科研院所基本科研业务费专项资金(No.2011hzs1J011) 海南省自然科学基金(No.809021)
关键词 模糊推理 芒果 病虫害 诊断 专家系统 fuzzy reasoning Mango disease and pest diagnosis expert system
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