Jing, R.; Xie, Y.; Hu, Z.; Yang, X.; Lin, X.; Duan, W.; Zeng, F.; Chen, T.; Wu, X.; He, X.;
et al. Machine Learning—Driven Analysis of Agricultural Nonpoint Source Pollution Losses Under Variable Meteorological Conditions: Insights from 5 Year Site-Specific Tracking. Sustainability 2026, 18, 590.
https://doi.org/10.3390/su18020590
AMA Style
Jing R, Xie Y, Hu Z, Yang X, Lin X, Duan W, Zeng F, Chen T, Wu X, He X,
et al. Machine Learning—Driven Analysis of Agricultural Nonpoint Source Pollution Losses Under Variable Meteorological Conditions: Insights from 5 Year Site-Specific Tracking. Sustainability. 2026; 18(2):590.
https://doi.org/10.3390/su18020590
Chicago/Turabian Style
Jing, Ran, Yinghui Xie, Zheng Hu, Xingjian Yang, Xueming Lin, Wenbin Duan, Feifan Zeng, Tianyi Chen, Xin Wu, Xiaoming He,
and et al. 2026. "Machine Learning—Driven Analysis of Agricultural Nonpoint Source Pollution Losses Under Variable Meteorological Conditions: Insights from 5 Year Site-Specific Tracking" Sustainability 18, no. 2: 590.
https://doi.org/10.3390/su18020590
APA Style
Jing, R., Xie, Y., Hu, Z., Yang, X., Lin, X., Duan, W., Zeng, F., Chen, T., Wu, X., He, X., & Zhang, Z.
(2026). Machine Learning—Driven Analysis of Agricultural Nonpoint Source Pollution Losses Under Variable Meteorological Conditions: Insights from 5 Year Site-Specific Tracking. Sustainability, 18(2), 590.
https://doi.org/10.3390/su18020590
