Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area

Research article (The Science of The Total Environment, 2022) · cited 27× · AI/ML
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Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area

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Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area. Retrieved May 24, 2026, from https://4ort.xyz/entity/parameter-regionalization-based-on-machine-learning-optimizes-the-estimation-of-reference-evapotranspiration-in-data-def
MLA “Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/parameter-regionalization-based-on-machine-learning-optimizes-the-estimation-of-reference-evapotranspiration-in-data-def.
BibTeX @misc{4ortxyz_parameter-regionalization-based-on-machine-learning-optimizes-the-estimation-of-reference-evapotranspiration-in-data-def_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Parameter regionalization based on machine learning optimizes the estimation of reference evapotranspiration in data deficient area}}, year = {2026}, url = {https://4ort.xyz/entity/parameter-regionalization-based-on-machine-learning-optimizes-the-estimation-of-reference-evapotranspiration-in-data-def}, note = {Accessed: 2026-05-24}}
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