-Unet++:

Hongda Li1,2, Yue Zhao1, Zeyang Bi1

  • 1College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.

Plant methods
|March 3, 2025
PubMed
概括

一个新的Swin-Unet++网络精确地对白菜根系统进行细分,达到98.19%的准确性. 这项技术有助于监测根生长,以提高作物产量和智能农业.