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. |
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| 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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| ISSN: | 27319598 |
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| DOI: | 10.1007/s44279-025-00247-y |
