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Water Quality Monitoring and Assessment for Efficient Water Resource Management through Internet of Things and Machine Learning Approaches for Agricultural Irrigation

Crossref DOI link: https://doi.org/10.1007/s11269-024-03899-5

Published Online: 2024-06-03

Published Print: 2024-10

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

Authors

Rahu, Mushtaque Ahmed https://orcid.org/0009-0000-3608-7716
Shaikh, Muhammad Mujtaba

Karim, Sarang https://orcid.org/0000-0002-1983-0843
Soomro, Sarfaraz Ahmed

Hussain, Deedar https://orcid.org/0000-0002-7572-6717
Ali, Sayed Mazhar https://orcid.org/0000-0002-4216-5976
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Text and Data Mining valid from 2024-06-03

Version of Record valid from 2024-06-03
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Article History

Received: 22 March 2024

Accepted: 20 May 2024

First Online: 3 June 2024

Declarations

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: Not applicable.

: All authors consented to participate.

: All authors consented to publish.

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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