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

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Title: Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects.
Authors: Eze, Val Hyginus Udoka1 (AUTHOR) udoka.eze@kiu.ac.ug, Eze, Esther Chidinma2 (AUTHOR) eze.esther@kiu.ac.ug, Alaneme, George Uwadiegwu3 (AUTHOR) alanemeg@kiu.ac.ug, BUBU, Pius Erheyovwe1 (AUTHOR) bubupius.e@kiu.ac.ug, Nnadi, Ezekiel Oluwaseun Ejiofor3 (AUTHOR) nnadiezekiel@kiu.ac.ug, Okon, Michael Ben4 (AUTHOR) ben.okon@kiu.ac.ug
Source: Discover Agriculture. 5/26/2025, Vol. 3 Issue 1, p1-34. 34p.
Database: Academic Search Ultimate
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