Study first author Chenchen Kang programmed the AI models and trained the computer vision system to track plant growth.

The study demonstrated that these algorithms significantly improve the accuracy of phenological dates, especially when limited cloud-free Landsat images are available during crucial growth periods.

A research team led by Prof. Cao Xiaofeng at the Institute of Genetics and Developmental Biology (IGDB) of the Chinese ...

Researchers have demonstrated a technique for successfully encapsulating bacteria that can then be stored and applied to ...