Crop–Weed Multispectral Semantic Segmentation With Foundation Models and Hardness-Aware Learning
Precision agriculture increasingly relies on accurate semantic segmentation of crops and weeds to enable targeted interventions such as selective weeding and yield optimization. However, conventional deep learning approaches often struggle to generalize across diverse field conditions, particularly when they are limite...