Innovative Few-Shot Learning Model Boosts Accuracy in Crop Disease

Innovative Few-Shot Learning Model Boosts Accuracy in Crop Disease

In a groundbreaking advancement poised to transform agricultural diagnostics, researchers at Huazhong Agricultural University have developed PlantCaFo, a novel few-shot learning model that significantly elevates plant disease recognition accuracy under data-scarce conditions. Published recently in the prestigious journal Plant Phenomics, this pioneering study introduces an innovative integration of a dilated contextual adapter (DCon-Adapter) alo…