In recent years, 3D plant phenotyping has emerged as a promising field for understanding crop structure and productivity. However, accurately estimating leaf traits remains challenging because ...

(a) The main structure of the self-supervised pretraining model, including three parts—a token embedding at the forefront, followed by a hierarchical encoder–decoder and a point reconstruction module.

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 ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...