Crop Leaves Disease Identification Using KERAS

Abstract: In recent times, drastic climate changes and lack of immunity in crops has caused substantial increase in growth of crop diseases. This causes large scale demolition of crops, decreases cultivation and eventually leads to financial loss of farmers. Due to rapid growth in variety of diseases and adequate knowledge of farmer, identification and treatment of the disease has become a major challenge. This paper proposes Artificial Intelligence (AI) system classifies and identifies the leaf diseases early using K-Means clustering algorithm and Support Vector Machine (SVM) classifier. The model serves its objective by classifying images of leaves into diseased category based on the pattern of defect.

Keywords: Leaf disease, Image processing, Artificial Intelligence, Keras.