A hierarchical prototype-graph with optimal-transport matching for few-shot rice disease recognition.
Accurate identification of rice diseases from field images is critical for crop health monitoring and sustainable agriculture, particularly in low-resource environments. However, most deep learning approaches depend on large-scale labeled datasets and pretrained backbones, limiting their applicability to rare or emergi...