Rice Paddy Disease Detection Using Convolutional Neural Networks

Rice is a critical staple meal worldwide, and its sustainability depends on early detection of rice leaf sicknesses. This look at as it should be identifying and instructions rice leaf sicknesses the use of switch mastering and deep mastering techniques. A dataset of 5932 self-generated rice leaf pics changed into assembled and labeled into 9 disease-unfold instructions. Convolutional Neural Network fashions have been used to evaluate the datasets, and their overall performance changed into contrast with that of different switch mastering techniques.