This paper uses deep learning to explore a novel approach via targeted segmentation mapping of crop plants rather than weeds, focusing on canola (Brassica napus) as the target crop.
Researchers successfully trained a segmentation model to detect sandplain lupins and differentiate them from narrow-leafed lupins under field conditions.