Grape Leaf Disease Detection through Hierarchical Features, Mask R-Convolutional Neural Network Segmentation, and Self-Attention Networks
Automated grape leaf disease detection is essential for precision agriculture, enabling early diagnosis and effective disease management. This paper presents a novel deep learning-based framework to enhance the accuracy and robustness of grape disease detection by integrating advanced image pre-processing, segmentation...