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Using feature engineering and machine learning in FAO reference evapotranspiration estimation Cover

Using feature engineering and machine learning in FAO reference evapotranspiration estimation

Open Access
|Nov 2023
DOI: https://doi.org/10.2478/johh-2023-0032 | Journal eISSN: 1338-4333 | Journal ISSN: 0042-790X
Language: English
Page range: 425 - 438
Submitted on: Jul 1, 2023
Accepted on: Oct 4, 2023
Published on: Nov 14, 2023
Published by: Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Barbora Považanová, Milan Čistý, Zbyněk Bajtek, published by Slovak Academy of Sciences, Institute of Hydrology; Institute of Hydrodynamics, Czech Academy of Sciences, Prague
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.