Abstract:

Rice, one of India's most widely grown crops, is harmed by a number of diseases at various developmental stages. For farmers with little experience, manually identifying these illnesses is quite challenging. The Neural Network is made up of the following models, which were just recently discovered. We utilized Transfer Learning out how to fabricate our deep learning model on a restricted dataset in light of the fact that it was elusive a picture dataset of rice leaf diseases. The proposed CNN design, which depends on datasets from rice fields and the web, is prepared and assessed utilizing VGG-16. The proposed model is 95% precise. This document integrates focuses like Deep Learning, Convolutional Neural Network (CNN), changing, and rice leaf diseases

Description:

Convolutional Neural Network (CNN)