Self-Supervised Deep Learning Model for Plant Disease Classification Under Limited Labeled Agricultural Data
Accurate plant disease classification is constrained by the limited availability of labeled agricultural images. This study presents a contrastive self-supervised framework that learns transferable leaf representations before supervised fine-tuning. The pretraining corpus contains 19,456 unique unlabeled PlantVillage i...