设施蔬菜病害知识诊断系统的构建

发布时间：2018-03-19 16:05

本文选题：蔬菜病害　切入点：知识诊断　出处：《济南大学学报(自然科学版)》2017年05期 　论文类型：期刊论文

【摘要】：为建立高效求解的植物病害诊断系统,利用经济学的多比例法实现设施蔬菜病害诊断知识数值化,依据蔬菜病害诊断问题特点,改进现有的层次分析法,利用诊断难易程度和影响病害发生的主要环境因子,建立蔬菜病害的分步诊断推理模型;将SQL Server 2005作为后台数据库管理系统,Visual studio.net framework(VS.NET)作为系统集成开发平台,利用C#语言进行编程,建立基于分步诊断模型的设施蔬菜作物病害诊断系统。结果表明,该系统具有病害查询、病害诊断、病害防治与管理方法等查询与咨询功能,对病害诊断的准确性评估结果显示该系统和人类专家诊断正确率差异不显著。
[Abstract]:In order to establish a plant disease diagnosis system with high efficiency, the multi-proportion method of economics is used to realize the numerical value of vegetable disease diagnosis knowledge in facilities. According to the characteristics of vegetable disease diagnosis problem, the existing analytic hierarchy process (AHP) is improved. The stepwise diagnosis reasoning model of vegetable disease is established by using the difficulty degree of diagnosis and the main environmental factors that influence the occurrence of vegetable disease, and the SQL Server 2005 is used as the background database management system and Visual studio.net framework VS.NET as the system integration development platform. A vegetable crop disease diagnosis system based on stepwise diagnosis model is established by using C # language. The results show that the system has query and consultation functions such as disease query, disease diagnosis, disease prevention and control and management methods, etc. The accuracy evaluation of disease diagnosis shows that there is no significant difference between the diagnostic accuracy of the system and that of human experts.
【作者单位】：淮阴工学院生命科学与食品工程学院;山东省无棣县农业局;
【基金】：江苏省前瞻性联合研究项目(BY2016061-27) 江苏省淮安市现代农业计划项目(HAN2015001) 江苏省淮安市应用研究与科技攻关(农业)计划项目(HAN2014018)
【分类号】：S126;S436.3

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