The quest for efficient 3D plant shoot segmentation, vital for extracting plant phenotypic traits, has driven the integration of deep learning with point clouds. Traditional 2D methods, while ...
The innovative approach, powered by SLEAP software, eliminates the limitations of traditional segmentation, enhancing phenotyping for crop improvement and climate resilience studies. Plant roots are ...
High-throughput phenotyping has significantly advanced plant data collection in agriculture. However, challenges arise when accurately segmenting overlapping plants in field images. Current methods, ...