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Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects

Crossref DOI link: https://doi.org/10.1007/s44279-025-00247-y

Published Online: 2025-05-26

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

Authors

Eze, Val Hyginus Udoka

Eze, Esther Chidinma

Alaneme, George Uwadiegwu

BUBU, Pius Erheyovwe

Nnadi, Ezekiel Oluwaseun Ejiofor

Okon, Michael Ben
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Text and Data Mining valid from 2025-05-26

Version of Record valid from 2025-05-26
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Article History

Received: 5 February 2025

Accepted: 21 May 2025

First Online: 26 May 2025

Declarations

:

: The Authors declared the Consent to Participate. Review and/or approval by an ethics committee was not needed for this study because it contains no human sample or subject.

: The Authors declare consent for the Journal to Publish this article.

: The authors declare no competing interests.

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