CATNet: Attention-enhanced Robust CNN Architecture with Transformer for Rice Crop Disease Detection
— To ensure an adequate supply of food while preventing loss of yield, timely identification of rice leaf diseases is vital. Traditional deep learning models often exhibit poor discrimination among visually challenging diseases, low generalization for images with natural background, and fail to handle datasets with cla...