A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

Researchers at Guizhou University have developed LLRL, a deep learning framework that targets lesion regions directly, ...

Researchers at the University of Osaka have developed NeuraLeaf, a revolutionary CG model using deep learning to represent diverse plant species and their leaf deformations. This single model ...

A research team introduces PodNet, the first real-time instance segmentation model designed for preharvest soybean fields.

A research team led by Prof. Jiang Ni from the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences (CAS) proposed a cost-effective method for in-field acquisition ...