Rice Leaf Disease Detection Using a Hybrid Deep Learning Architecture
The occurrence of diseases in rice leaves is a crucial problem for agricultural productivity and food security, requiring the development of accurate algorithms to reliably detect these conditions. Although deep learning methods, especially Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs), have alrea...