An Efficient and Robust Few-Shot Information Fusion for Paddy Disease Detection
Accurate recognition of paddy leaf diseases is essential for precision agriculture but remains challenging due to limited labeled data, complex lesion patterns, and substantial variability in field environments. Conventional deep learning methods require large annotated datasets, while existing few-shot learning (FSL)...