Li, M.; Xie, L.; Dong, R.; Huang, S.; Yang, Q.; Yang, G.; Ma, R.; Liu, L.; Wang, T.; Zhou, Z.
The Spatiotemporal Characteristics and Prediction of Soil and Water Conservation as Carbon Sinks in Karst Areas Based on Machine Learning: A Case Study of Puding County, China. Agriculture 2026, 16, 15.
https://doi.org/10.3390/agriculture16010015
AMA Style
Li M, Xie L, Dong R, Huang S, Yang Q, Yang G, Ma R, Liu L, Wang T, Zhou Z.
The Spatiotemporal Characteristics and Prediction of Soil and Water Conservation as Carbon Sinks in Karst Areas Based on Machine Learning: A Case Study of Puding County, China. Agriculture. 2026; 16(1):15.
https://doi.org/10.3390/agriculture16010015
Chicago/Turabian Style
Li, Man, Lijun Xie, Rui Dong, Shufen Huang, Qing Yang, Guangbin Yang, Ruidi Ma, Lin Liu, Tingyue Wang, and Zhongfa Zhou.
2026. "The Spatiotemporal Characteristics and Prediction of Soil and Water Conservation as Carbon Sinks in Karst Areas Based on Machine Learning: A Case Study of Puding County, China" Agriculture 16, no. 1: 15.
https://doi.org/10.3390/agriculture16010015
APA Style
Li, M., Xie, L., Dong, R., Huang, S., Yang, Q., Yang, G., Ma, R., Liu, L., Wang, T., & Zhou, Z.
(2026). The Spatiotemporal Characteristics and Prediction of Soil and Water Conservation as Carbon Sinks in Karst Areas Based on Machine Learning: A Case Study of Puding County, China. Agriculture, 16(1), 15.
https://doi.org/10.3390/agriculture16010015
