设施果菜病害诊断的知识表达与推理模型  

Knowledge expression and disease diagnostic reasoning model for greenhouse fruit and vegetable crops

作　　者：孙敏[1,2] 罗卫红[1] 相林[2] 冯万利[2] 吕慧明[2] 

机构地区：[1]南京农业大学农学院,南京210095 [2]淮阴工学院,淮安223003

出　　处：《农业工程学报》2012年第17期149-156,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：公益性行业(气象)科研专项经费项目(GYHY200906023)

摘　　要：病害诊断的知识表达和推理是建立植物病害诊断系统的核心研究内容。该文在系统收集设施果菜病害诊断知识的基础上,根据模糊数学的思想,利用评估学中多比例法将诊断知识数值化,使用"对象—属性—值三元组法"(object-attribute-value,OAV)与产生式规则相结合,实现了病害诊断知识的有效表达。并进一步采用模糊推理的方法,模拟诊断专家的诊断思维模式,针对诊断问题的特点,构建了一步诊断及深入诊断两步诊断推理模型,使用最佳优先搜索法,并采用C#语言对模型进行计算机编程,实现了设施果菜病害诊断与推理模型。该研究建立的病害诊断与推理模型为进一步建立设施果菜病害诊断与防治管理决策支持系统奠定了基础。Knowledge expression and disease diagnostic reasoning are essential for the development of decision support systems for diagnosis and management of plant diseases.In this study,plant disease diagnosis knowledge was collected and summarized.Numerical expression of the disease diagnosis knowledge was achieved by using the principle of fuzzy mathematics and the multiple proportion method of evaluation.The numerical expression of the disease diagnosis knowledge was then combined with the ＂objectattributevalue triples act＂（referred as OAV act） and the production rules to achieve effective expression of the disease diagnosis knowledge,and based on which,,two inference models for one-step diagnosis and two-step detailed diagnosis were developed by using fuzzy reasoning method to simulate the diagnostic reasoning of experts.The best-first search method and C # computer language were used for developing and programming the inference models.The knowledge expression and disease diagnostic reasoning models developed in this study can be used for the development of decision support system for disease diagnosis and management of greenhouse fruit and vegetable crops.

关 键 词：模型 病害 诊断 知识数值化 

分 类 号：S436.3[农业科学—农业昆虫与害虫防治] TP182[农业科学—植物保护]