Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift 事件

Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift arXiv:2606.02045v1 Announce Type: new Abstract: Artificial intelligence provides a practical framework for crop damage assessment from imagery data, supporting early decision-making in agricultural management. In peach orchards, climate change increases abiotic stress and biotic pressures, including pests and diseases, which often produce visually similar foliar symptoms. This overlap makes