Rice Plant Leaf Disease Detection Using Deep Learning: A Review

Abstract

Image processing is becoming less important and has been replaced by deep learning for many tasks such as image classification and object detection. A deep learning model with multilevel structure. It is very useful for extracting complex information from input images. Deep learning uses neural network architecture to learn useful representations of features directly from data. However, so far, deep learning methods have rarely been applied to the task of detecting plant diseases, although some existing studies have focused on public datasets of enlarged images of plant leaves.