Zhao, F.; Yang, T.; Wang, W.; Han, W.; Wang, G.; Qiao, J.; Kong, X.; Liu, L.; Si, A.; Wang, F.;
et al. High-Throughput Evaluation of Cotton Drought Tolerance Using UAV Multispectral Imagery and XGBoost-Based Machine Learning. Agronomy 2026, 16, 526.
https://doi.org/10.3390/agronomy16050526
AMA Style
Zhao F, Yang T, Wang W, Han W, Wang G, Qiao J, Kong X, Liu L, Si A, Wang F,
et al. High-Throughput Evaluation of Cotton Drought Tolerance Using UAV Multispectral Imagery and XGBoost-Based Machine Learning. Agronomy. 2026; 16(5):526.
https://doi.org/10.3390/agronomy16050526
Chicago/Turabian Style
Zhao, Fuxiang, Tao Yang, Wei Wang, Wanli Han, Gang Wang, Jinxin Qiao, Xianhui Kong, Li Liu, Aijun Si, Fanlin Wang,
and et al. 2026. "High-Throughput Evaluation of Cotton Drought Tolerance Using UAV Multispectral Imagery and XGBoost-Based Machine Learning" Agronomy 16, no. 5: 526.
https://doi.org/10.3390/agronomy16050526
APA Style
Zhao, F., Yang, T., Wang, W., Han, W., Wang, G., Qiao, J., Kong, X., Liu, L., Si, A., Wang, F., Wang, X., Yang, X., & Yu, Y.
(2026). High-Throughput Evaluation of Cotton Drought Tolerance Using UAV Multispectral Imagery and XGBoost-Based Machine Learning. Agronomy, 16(5), 526.
https://doi.org/10.3390/agronomy16050526