A hybrid ResNet-ViT and YOLOv3-ViT pipeline for interpretable mango leaf disease diagnosis
The empirical results reveal that the suggested framework is capable of accurately classifying leaves while simultaneously localizing symptoms in an interpretable way, which can further be applied to diagnose diseases in different plants.