Estimating parameters of empirical infiltration models from the global dataset using machine learning
نویسندگان
چکیده
1. Araya S.N. and Ghezzehei T.A., 2019. Using machine learning for prediction of saturated hydraulic conductivity its sensitivity to soil structural perturbations. Water Res. Res., 55(7), 5715-5737. https://doi.org/10.1029/2018wr.... CrossRef Google Scholar
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ژورنال
عنوان ژورنال: International Agrophysics
سال: 2021
ISSN: ['0236-8722', '2300-8725']
DOI: https://doi.org/10.31545/intagr/132922