Detecting Turmeric Taphrina Maculans Disease using Machine Learning Algorithms

Disease management in agriculture is a major task in agriculture for farmers. Turmeric is a major cultivated crop in the Erode region of south India. In turmeric cultivation, farmers find major diseases like leaf spot (Colletotrichum capsici) and (Anthracnose) etc. It is a label used to define a group of fungal infections in plants which can spread vastly, and the plants will be destroyed. For most farmers, in a cultivation of more than 20 acres, it is very challenging to identify the disease-affected areas. To overcome this problem, the sample images are collected and dataset of the turmeric leaf is prepared. It is an image processing technique. The conversion of image is done by analyzing the image. Plant illness ID is the main area in farming. The ID of plant sicknesses require close observing, and subsequently this paper embraces advances to oversee turmeric plant infections brought about by organisms to empower creation of top-notch crop yields. Different picture handling and ML methods are utilized to recognize and arrange the illnesses in turmeric leaf. The leaf pictures of various classes are pre-handled and sectioned to advance productive component extraction. ML calculations like k-implies calculation are utilized.