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Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley.

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Bibliographic Details
Title: Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley.
Authors: Rueda Cadavid JF; Civil and Agricultural Engineering Department, Faculty of Engineering, National University of Colombia (UNAL)Bogotá Campus, Bogotá D.C., Colombia., Cañón Castillo DM; Civil and Agricultural Engineering Department, Faculty of Engineering, National University of Colombia (UNAL)Bogotá Campus, Bogotá D.C., Colombia., Mendoza Castiblanco CJ; Civil and Agricultural Engineering Department, Faculty of Engineering, Universidad Nacional de Colombia, Bogotá Campus, Bogotá D.C., Colombia. cjmendozac@unal.edu.co., Rodríguez Vásquez AF; Civil and Agricultural Engineering Department, Faculty of Engineering, Universidad Nacional de Colombia, Bogotá Campus, Bogotá D.C., Colombia., Cortés Bello CA; Civil and Agricultural Engineering Department, Faculty of Engineering, Universidad Nacional de Colombia, Bogotá Campus, Bogotá D.C., Colombia.
Source: Scientific reports [Sci Rep] 2025 Dec 13; Vol. 16 (1), pp. 278. Date of Electronic Publication: 2025 Dec 13.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-29514-0