中国农业科学院农业信息研究所 中国农学会
Agricultural Information Institute of CAAS China Association of Agricultural Science Societies
En
Ch
中国农业科学院农业信息研究所 中国农学会 主办

AI检索

订阅

返回顶部
当前位置: 首页 > 文章 > 基于SVM的小麦叶部病害识别方法研究 农机化研究 2014 (11) 151-155+159
Position: Home > Articles > Identification of Wheat Leaf Diseases Based on SVM Method Journal of Agricultural Mechanization Research 2014 (11) 151-155+159

基于SVM的小麦叶部病害识别方法研究

作  者：
余秀丽;徐超;王丹丹;张卫园;屈卫锋;宋怀波
单  位：
西北农林科技大学机械与电子工程学院
关键词：
小麦叶片;病斑识别;特征提取;支持向量机
摘  要：
为了准确识别小麦叶部常见病害,为小麦病情诊断和发展状况判断提供科学依据,设计并实现了一种基于SVM(Support Vector Machine)的小麦叶部常见病害识别方法。该方法可以实现对小麦白粉病、条锈病和叶锈病的准确识别。首先,基于中值滤波法和K均值聚类算法,实现了图像的去噪及病斑分割;然后,提取了病斑区域形状特征和纹理特征;最后,利用SVM算法对小麦叶部病害进行了分类识别。随机试验结果表明,利用所提取的特征可以有效地实现小麦叶部常见病害的识别,基于形状特征的综合识别率可达99.33%;利用SVM算法进行小麦病害叶片识别是有效的、可行的。该方法对于农作物病害智能识别的推广具有较好的借鉴意义。
译  名：
Identification of Wheat Leaf Diseases Based on SVM Method
作  者：
Yu Xiuli;Xu Chao;Wang Dandan;Zhang Weiyuan;Qu Weifeng;Song Huaibo;College of Mechanical and Electronic Engineering,Northwest A&F University;
关键词：
wheat blade;;disease spot recognition;;feature extraction;;SVM
摘  要：
In order to identify wheat blade diseases accurately and provide scientific basis for wheat diseases diagnosis,an identification method of wheat blade disease based on SVM was presented.Three wheat blade diseases,such as Powdery mildew,Strip rust disease and Blade rust disease,were recognized accurately via this method.First,image de-noising and spot segmentation were achieved by using median filter method and K-means clustering algorithm.Then,two kinds of disease spot features were extracted,including shape features and texture features.Finally,disease blades were classified and identified using SVM algorithm.Experiment results showed that the presented method which took advantage of the disease spot features could identify wheat blade diseases efficiently,and the comprehensive identification rate of shape features based method reached 99.33%,which showed that it was very effective and practicable for identifying wheat blade diseases by using SVM algorithm.The presented method also provides reference for intelligent identification of crop diseases in the future research.

相似文章

导出引用
计量
文章访问数: 9
HTML全文浏览量: 0
PDF下载量: 0

所属期刊

推荐期刊

友情链接Friendly link
农业信息研究所Agricultural information institute 农业智能知识服务平台Agricultural intelligent knowledge service platform 农业学术服务平台Agricultural Knowledge Service System 中国知网CNKI 维普网VIP 万方WANFANG DATA
联系我们Contact us

电话Tell：010-82109652-808

邮箱E-mail：agrijournal@caas.cn

服务Service
关于我们About us 意见建议Opinions and suggest
版权说明Copyright
单位：中国农业科学院农业信息研究所 中国农学会 © 2017中国农业科学院农业信息研究所 ICP备案号：京ICP备09089781号-46