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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 185426251 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185426251 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s44279-025-00247-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 34 StartPage: 1 Titles: – TitleFull: Integrating IoT sensors and machine learning for sustainable precision agroecology: enhancing crop resilience and resource efficiency through data-driven strategies, challenges, and future prospects. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Eze, Val Hyginus Udoka – PersonEntity: Name: NameFull: Eze, Esther Chidinma – PersonEntity: Name: NameFull: Alaneme, George Uwadiegwu – PersonEntity: Name: NameFull: BUBU, Pius Erheyovwe – PersonEntity: Name: NameFull: Nnadi, Ezekiel Oluwaseun Ejiofor – PersonEntity: Name: NameFull: Okon, Michael Ben IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 05 Text: 5/26/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 27319598 Numbering: – Type: volume Value: 3 – Type: issue Value: 1 Titles: – TitleFull: Discover Agriculture Type: main |
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