Assessment of data intelligence algorithms in modeling daily reference evapotranspiration under input data limitation scenarios in semi-arid climatic condition
Crop evapotranspiration is essential for planning and designing an efficient irrigation system. The present investigation assessed the capability of four machine learning algorithms, namely, XGBoost linear regression (XGBoost Linear), XGBoost Ensemble Tree, Polynomial Regression (Polynomial Regr), a...
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Bibliographische Detailangaben
| Veröffentlicht in: | Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 87(2023), 10 vom: 01. Mai, Seite 2504-2528
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| 1. Verfasser: |
Rajput, Jitendra
(VerfasserIn) |
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| Weitere Verfasser: |
Singh, Man,
Lal, K,
Khanna, Manoj,
Sarangi, A,
Mukherjee, J,
Singh, Shrawan |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | Water science and technology : a journal of the International Association on Water Pollution Research
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| Schlagworte: | Journal Article |
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