摘要
针对大豆生长病害智能诊断过程中计算机技术辅助决策的难点,构建了一个基于Dempster-Shafer理论的大豆病害信息诊断模型。对模型进行了理论及特性分析,建立了该种方法实现的理论框架,给出了具体的应用规则,并结合大豆病害的实例进行了具体应用。结果表明,该方法在大豆病害诊断过程中会大大提高决策的精度和可信度。
It is difficult for people to use computer assisted making policy specifically of crops plant diseases in intelligence diagnose process,this paper structured a Dempster-Shafer theory-based soybean disease Information Diagnose Model.analysed the theory and characteristic property,built the theoretical frame and has given concrete application out and regulation.and carried out concrete application combining with soybean disease example.Practice indicates accuracy and confidence can improve decision-making greatly.
出处
《农机化研究》
北大核心
2010年第8期50-52,78,共4页
Journal of Agricultural Mechanization Research
基金
东北农业大学博士启动基金项目(2008)
黑龙江省青年科学技术基金(QC07C41)
黑龙江省博士后科研启动金(LBH-Q08129)