LUCID: A Training-Free Few-Shot Framework for Leaf Disease Diagnosis via Visual–Knowledge Evidence Fusion
The diagnosis of leaf diseases in medicinal and non-mainstream plants is often hindered by the scarcity of labeled samples, whereas existing deep learning methods generally rely on large-scale labeled datasets. Prototype-based few-shot methods are constrained by the limited number of support samples and fine-grained vi...