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Multi-depth Soil Moisture Modelling Based on Drought Indices and Machine Learning Algorithms

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Title: Multi-depth Soil Moisture Modelling Based on Drought Indices and Machine Learning Algorithms
Authors: SASANYA, Blessing FunmbiAff1, Aff2, IDs41748025008336_cor1, KOLAJO, Oluwafemi OladipupoAff3, Aff4
Source: Earth Systems and Environment. 10(4):3941-3962
Database: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s41748-025-00833-6
    Name: EDS - Springer Nature Journals (s7799221)
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  Data: Multi-depth Soil Moisture Modelling Based on Drought Indices and Machine Learning Algorithms
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  Data: <i>Earth Systems and Environment</i>. 10(4):3941-3962
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        Value: 10.1007/s41748-025-00833-6
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      – Text: English
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      Pagination:
        PageCount: 22
        StartPage: 3941
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      – TitleFull: Multi-depth Soil Moisture Modelling Based on Drought Indices and Machine Learning Algorithms
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            NameFull: SASANYA, Blessing Funmbi
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            NameFull: KOLAJO, Oluwafemi Oladipupo
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            – D: 01
              M: 08
              Type: published
              Y: 2026
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              Value: 10
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              Value: 4
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