数字农科院2.0

Application of support vector machine for detecting rice diseases using shape and color texture features

文献类型： 外文期刊

作者： Qing Yao ; Zexin Guan ; Yingfeng Zhou ; Jian Tang ; Yang Hu ; Baojun Yang

作者机构：

关键词： rice diseases spots;image processing;texture features;support vector machine

期刊名称： 2009 INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATION

ISSN： 0000-0000

年卷期： 2009 年

页码：

收录情况： SCI

摘要： For detecting rice disease early and accurately, we presented an application of image processing techniques and Support Vector Machine (SVM) for detecting rice diseases. Rice disease spots were segmented and their shape and texture features were extracted. The SVM method was employed to classify rice bacterial leaf blight, rice sheath blight and rice blast. The results showed that SVM could effectively detect and classify these disease spots to an accuracy of 97.2%.

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