Banana Plant Disease Detection and Grading Using Image Processing
Agriculture with its associated sectors is undoubtedly the largest livelihood provider in India. Today, in agriculture plant disease is the significant concern as it reduces the production and quality of food. Hence there is a need to detect the plant diseases at the early stage. Banana leaf is highly exposed to diseases like Black Sigatoka, Yellow Sigatoka, Bunchy top, Panama Wilt, Streak virus. The detection of plant leaf diseases requires close observation. In this paper, we propose software solution for automatic plant disease detection and finally the percentage infection using image processing technique. Image processing techniques are employed to enhance the quality of images. Besides, the proposed work uses Artificial Neural Network to classify the Banana plant diseases which are mentioned above. The proposed system involves several steps, which includedataset creation, image pre processing, HOT feature extraction and artificial neural network based training and classification. Finally a system is developed that extracts the features from images and classifies the diseases is using ANN algorithm.