Evapotranspiration Estimation Using Machine Learning Methods

Evapotranspiration Estimation Using Machine Learning Methods

The study examined the performance of four machine learning algorithms (regression trees, boosted trees, random forests, and artificial neural networks) for estimating evapotranspiration (ETo) based on incomplete meteorological data. Meteorological variables (mean and maximum air temperature, averag...

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Bibliographic Details
Main Authors: Treder Waldemar, Klamkowski Krzysztof, Wójcik Katarzyna, Tryngiel-Gać Anna
Format: Article
Language:English
Published: Sciendo 2023-12-01
Series:Journal of Horticultural Research
Subjects:
regression trees
boosted trees
random forests
neural networks
weather data
incomplete meteorological data
Online Access:https://doi.org/10.2478/johr-2023-0033

Internet

https://doi.org/10.2478/johr-2023-0033

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