Diseases Detection of Cotton Leaf Spot Using Image Processing and SVM Classifier

摘要

In India Cotton is considered as one of the most important cash crops, as most farmers cultivate cotton in large number. The diseases on cotton, over past few decades have to lead to tremendous loss of yield and productivity. Identification of cotton diseases at early stage diagnosis is important [1]. The goal of our proposed work presents a system using simple image processing approach for automatic diagnosis of cotton leaf diseases [2]. Classification based on selecting appropriate features such as color, texture of images done by using SVM classifier. The images are acquired from cotton fields using a digital camera. Various preprocessing techniques as filtering, background removal, enhancement are done. Colour-based segmentation is done to obtain the diseased segmented part from the cotton leaf. Segmented image is used for feature extraction.