Disease Classification and Detection Techniques in Rice Plant using Deep Learning

In today's world, agriculture is an important source of food, Plant diseases, on the other hand, cause the majority of agricultural crop production losses, with about 35% of crops being lost owing to plant diseases. The considerable impact on plants can be reduced by early identification of plant diseases, which demands the use of computing technology in the agricultural area. Deep Learning (DL), a subset of Artificial Intelligence (AI), provides a solution to these challenges. Popular Deep Learning models are used for disease classification and detection. A comparison is made between the related studies in terms of image preprocessing, segmentation, feature extraction, and classification. This paper compares various deep learning models for detecting and classifying various diseases.