Leaf Instance Segmentation

Leaf instance segmentation, a crucial task in plant phenotyping, aims to accurately identify and delineate individual leaves within images or 3D point clouds of plants. Current research emphasizes the development of robust deep learning models, often incorporating transformer architectures or leveraging self-supervised pre-training techniques to address challenges like leaf occlusion and limited annotated data. This work is vital for advancing automated plant monitoring and analysis in agriculture, enabling precise measurements of plant traits for improved crop management and yield prediction.