Wang, P.; Rastgou, M.; Qi, Z.; Jiang, Q.; He, Y.
Parametric Modeling of the Unsaturated Soil Hydraulic Conductivity Function Using Tree-Based and Ensemble Machine Learning Algorithms: A Comparative Analysis of Cubist, Random Forest, and LightGBM. Agronomy 2026, 16, 1116.
https://doi.org/10.3390/agronomy16111116
AMA Style
Wang P, Rastgou M, Qi Z, Jiang Q, He Y.
Parametric Modeling of the Unsaturated Soil Hydraulic Conductivity Function Using Tree-Based and Ensemble Machine Learning Algorithms: A Comparative Analysis of Cubist, Random Forest, and LightGBM. Agronomy. 2026; 16(11):1116.
https://doi.org/10.3390/agronomy16111116
Chicago/Turabian Style
Wang, Peng, Mostafa Rastgou, Zhiming Qi, Qianjing Jiang, and Yong He.
2026. "Parametric Modeling of the Unsaturated Soil Hydraulic Conductivity Function Using Tree-Based and Ensemble Machine Learning Algorithms: A Comparative Analysis of Cubist, Random Forest, and LightGBM" Agronomy 16, no. 11: 1116.
https://doi.org/10.3390/agronomy16111116
APA Style
Wang, P., Rastgou, M., Qi, Z., Jiang, Q., & He, Y.
(2026). Parametric Modeling of the Unsaturated Soil Hydraulic Conductivity Function Using Tree-Based and Ensemble Machine Learning Algorithms: A Comparative Analysis of Cubist, Random Forest, and LightGBM. Agronomy, 16(11), 1116.
https://doi.org/10.3390/agronomy16111116
