农业机械学报2017，Vol.48Issue(9)：46-52,7.DOI:10.6041/j.issn.1000-1298.2017.09.006
基于动态集成的黄瓜叶部病害识别方法
Recognition Method of Cucumber Leaf Diseases with Dynamic Ensemble Learning
摘要
Abstract
Crop disease is one of the most important influencing factors for agricultural high yield and high quality.Accurate classification of diseases is a key and basic step for early disease monitoring,diagnostics and prevention.The optimal individual classifier design is currently the common limitation in most crop disease recognition methods based images.To improve the accuracy and stability of disease identification,a disease recognition method of cucumber leaf images via dynamic ensemble learning was proposed.The approach consisted of three major stages.Firstly,totally 75-dimension color features of leaf image were extracted with image block processing.Secondly,a disagreement approach was used to measure the diversity among 10 classifiers of neural networks with an ensemble technique,where the classifiers were ordered according to the diversity.Finally,with the confidence of classifiers,a classifier subset was dynamically selected and integrated to identify the images of crop leaf diseases.To verify the effectiveness of the proposed method,classification experiments were performed on images of four kinds of cucumber leaf tissues,including 512 samples composed of powdery milder,downy mildew,gray mold and normal leaf.The experimental results showed that the recognition error rate of the proposed method was 3.32％,compared with those of BP neural network,SVM,Bagging and AdaBoost methods,it was reduced by 1.37 percentage point,1.56 percentage point,1.76 percentage point and 0.78 percentage point,respectively.The proposed method identified the diseases accurately from cucumber leaf images.Moreover,the method was feasible and effective,and it can also be utilized and modified for the classification of other crop diseases.关键词
黄瓜/叶部病害/图像识别/集成学习/差异性度量/动态选择Key words
cucumber/leaf diseases/image recognition/ensemble learning/diversity measure/dynamic selection分类
农业科技引用本文复制引用
王志彬,王开义,王书锋,王晓锋,潘守慧..基于动态集成的黄瓜叶部病害识别方法[J].农业机械学报,2017,48(9):46-52,7.基金项目
国家自然科学基金项目(61403035、71301011)和北京市自然科学基金项目(9152009) （61403035、71301011）
