基于决策树的蔬菜病害静态预警模型  

Static Early-warning Model of Vegetable Diseases Based on Decision Tree

作　　者：纪思琪[1] 吴芳[1] 李乃祥[1] 

机构地区：[1]天津农学院计算机与信息工程学院,天津300384

出　　处：《天津农学院学报》2017年第2期77-80,共4页Journal of Tianjin Agricultural University

基　　金：天津市大学生创新创业训练计划项目"基于决策树的蔬菜病害静态预警模型"(201510061014);天津市农业物联网区试工程项目"设施蔬菜病害智能识别与监测预警系统建设"(无编号)

摘　　要：设施蔬菜病害严重影响蔬菜的产量和质量,利用传统的防治措施不能很好地满足社会对食品安全和良好的生活环境的要求,而设施蔬菜病害预警则可兼顾蔬菜生产和社会要求,是一种绿色、有效的病害防治方式。本文采用决策树C4.5算法对蔬菜病害进行预警,构建设施蔬菜病害静态预警模型。为测试模型的可行性和适用性,以黄瓜黑星病为例,对所构建的预警模型进行分析评价。结果表明:运用决策树C4.5算法能够实现对黄瓜黑星病的预警,模型预测具有准确率较高、所需时间短等特点,可以有效地运用于实际生产之中。The yield and quality of facility vegetables are seriously affected by diseases. Traditional control measures can not well meet the requirements of food safety and friendly environment from society whereas facility vegetable diseases early warning, which is a green and effective diseases control mode, can give consideration to both vegetable production and requirements of society. In this paper, decision tree C4.5 algorithm is applied to early warning of vegetable diseases and based on which static early warning model of facility vegetable diseases is constructed. For testing the feasibility and applicability of the model, cucumber scab is taken for example and the model constructed is analysed and evaluated. Result shows that using decision tree C4.5 algorithm is able to realize early warning of cucumber scab. The model of high accuracy and less time can be effectively applied to the actual production.

关 键 词：设施蔬菜病害 预警 决策树 黄瓜黑星病 分析评价 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]