A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf disease severity, a key step toward precision agriculture.

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

A research team introduces a scalable, drone-based 3D reconstruction pipeline combined with a novel deep learning framework—SegVoteNet—to phenotype sorghum panicles in field trials.

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 ...