IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

Plant Disease Detection Using GLCM and a Hybrid SVM-kNN

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Er. Deepak Sidana Er. Neelofer Sohi

Abstract

Plant disease detection is essential for reducing plant and agricultural product productivity and quantity losses. Controlling plant diseases by hand is a difficult task. It necessitates a tremendous deal of effort, knowledge of plant diseases, and, in many cases, an unnecessary amount of processing time. Image acquisition, image pre-processing, segmentation, feature extraction, and classification are the five primary phases in the proposed plant leaf disease detection system. Images of damaged leaves are being collected and image pre-processing is being used to improve them

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