2009 · 230 citations · 11 references
ComputingComputer SciencePlant PathologyBacterial Plant PathologyComputer VisionPlant Disease DiagnosisAgricultural Machine VisionDisease DetectionDisease DiagnosisImage ClassificationKernel MethodsSupport Vector MachinesBacterial Leaf BlightCrop Disease ClassificationImage Signal ProcessingLeaf Spot RecognitionSupport Vector ClassificationSupport Vector Machine ClassificationSupport Vector RegressionTexture Features
For detecting rice disease early and accurately, we presented an application of image processing techniques andSupport 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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