Zhao, T., Liu, S., Xu, J., He, H., Wang, D., Horton, R., & Liu, G. (2022). Comparative analysis of seven machine learning algorithms and five empirical models to estimate soil thermal conductivity. Agricultural and forest meteorology, 323, 109080. https://doi.org/10.1016/j.agrformet.2022.109080
Citácia podle Chicago (17th ed.)Zhao, Tianyue, Shuchao Liu, Jia Xu, Hailong He, Dong Wang, Robert Horton, a Gang Liu. "Comparative Analysis of Seven Machine Learning Algorithms and Five Empirical Models to Estimate Soil Thermal Conductivity." Agricultural and Forest Meteorology 323 (2022): 109080. https://doi.org/10.1016/j.agrformet.2022.109080.
Citácia podľa MLA (8th ed.)Zhao, Tianyue, et al. "Comparative Analysis of Seven Machine Learning Algorithms and Five Empirical Models to Estimate Soil Thermal Conductivity." Agricultural and Forest Meteorology, vol. 323, 2022, p. 109080, https://doi.org/10.1016/j.agrformet.2022.109080.