Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate?
Timely and reliable estimates of reference evapotranspiration (ET0) are imperative for robust water resources planning and management. Applying machine learning (ML) algorithms for estimating ET0 has been evolving, and their applicability in different sectors is still a compelling field of research....
| Main Authors: | , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/175610 |
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