Weakly Supervised Leaf Disease Segmentation via Reinforcement Learning-Based Prompt Optimization for SAM
Accurate segmentation of leaf lesions is essential for crop disease monitoring and precision agriculture. However, most existing methods rely on pixel-level annotations, which are costly and difficult to obtain in real agricultural scenarios. Weakly supervised approaches alleviate this requirement but often suffer from...