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Efficacy of GIS-based AHP and data-driven intelligent machine learning algorithms for irrigation water quality prediction in an agricultural-mine district within the Lower Benue Trough, Nigeria

Crossref DOI link: https://doi.org/10.1007/s11356-023-25291-3

Published Online: 2023-02-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Omeka, Michael E. https://orcid.org/0000-0003-0405-8616
Igwe, Ogbonnaya

Onwuka, Obialo S.

Nwodo, Ogechukwu M.

Ugar, Samuel I.

Undiandeye, Peter A.

Anyanwu, Ifeanyi E. https://orcid.org/0000-0002-0935-5479
License Information

Text and Data Mining valid from 2023-02-01

Version of Record valid from 2023-02-01
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Article History

Received: 29 September 2022

Accepted: 9 January 2023

First Online: 1 February 2023

Declarations

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: Not applicable

: Not applicable

: Not applicable

: The authors declare no competing interests.

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