Computer Vision Based Turmeric Leaf Disease Detection and Classification: A Step to Smart Agriculture

Disease identification plays a vital role in agricultural sector. Turmeric being a rhizomatous crop and well known for its therapeutic effects, monitoring such crops is crucial. The turmeric leaves are mainly exposed to diseases like Leaf Spot and Leaf Blotch. The paper develops an algorithm for detecting and preventing the spreading of diseases to the whole crop and results in high quality crop production. The data base of different leaf images was created and processed using k-Means image segmentation and leaf images textural analysis was carried out using GLCM. SVM classifier is used to classify the feature extracted images after ranking their attributes using an information gain algorithm. A GUI has been created to portray the various stages of the image processing algorithm and detect the two leaf diseases.