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Application of proximal sensing approach to predict cation exchange capacity of calcareous soils using linear and nonlinear data mining algorithms.

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Title: Application of proximal sensing approach to predict cation exchange capacity of calcareous soils using linear and nonlinear data mining algorithms.
Authors: Karami, Ali1 (AUTHOR), Moosavi, Ali Akbar1 (AUTHOR) aamousavi@gmail.com, Pourghasemi, Hamid Reza1 (AUTHOR) hr.pourghasemi@shirazu.ac.ir, Ronaghi, Abdolmajid1 (AUTHOR), Ghasemi-Fasaei, Reza1 (AUTHOR), Lado, Marcos2 (AUTHOR)
Source: Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation. Jun2024, Vol. 24 Issue 6, p2248-2267. 20p.
Database: Environment Complete
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An: 178047912
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  Data: Application of proximal sensing approach to predict cation exchange capacity of calcareous soils using linear and nonlinear data mining algorithms.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=178047912
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s11368-024-03825-7
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 2248
    Titles:
      – TitleFull: Application of proximal sensing approach to predict cation exchange capacity of calcareous soils using linear and nonlinear data mining algorithms.
        Type: main
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          Name:
            NameFull: Karami, Ali
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            NameFull: Moosavi, Ali Akbar
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            NameFull: Pourghasemi, Hamid Reza
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            NameFull: Ronaghi, Abdolmajid
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            NameFull: Ghasemi-Fasaei, Reza
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            NameFull: Lado, Marcos
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          Dates:
            – D: 01
              M: 06
              Text: Jun2024
              Type: published
              Y: 2024
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              Value: 14390108
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              Value: 24
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              Value: 6
          Titles:
            – TitleFull: Journal of Soils & Sediments: Protection, Risk Assessment, & Remediation
              Type: main
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