Opportunities and Challenges of Sensor- and Acoustic-Based Irrigation Monitoring Technologies in South Africa: A Scoping Review with Machine Learning-Enhanced Evidence Synthesis
| dc.contributor.author | Nxumalo, Gift | |
| dc.contributor.author | Ramabulana, Tondani Sanah | |
| dc.contributor.author | Vilakazi, Noxolo Felicia | |
| dc.contributor.author | Nagy, Attila | |
| dc.date.accessioned | 2026-04-24T18:00:50Z | |
| dc.date.available | 2026-04-24T18:00:50Z | |
| dc.date.issued | 2026 | |
| dc.date.oa | 2026-04-27 | |
| dc.date.pasync | 2026-04-27T23:11:46Z | |
| dc.date.updated | 2026-04-24T18:00:50Z | |
| dc.description.corrector | SZKM | |
| dc.identifier.citation | AgriEngineering. -8 : 5 (2026), p. 1-39. -(cikkazonosító)161-. -AgriEngineering. - 2624-7402 | |
| dc.identifier.doi | http://dx.doi.org/10.3390/agriengineering8050161 | |
| dc.identifier.issn | 2624-7402 | |
| dc.identifier.opac | https://ebib.lib.unideb.hu/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM136918 | |
| dc.identifier.uri | https://hdl.handle.net/2437/406473 | |
| dc.identifier.url | https://www.mdpi.com/2624-7402/8/5/161 | |
| dc.language | eng | |
| dc.rights.access | open access article | |
| dc.rights.owner | Szerző | |
| dc.subject.mab | Természettudományok | |
| dc.subject.mab | Környezettudományok | |
| dc.title | Opportunities and Challenges of Sensor- and Acoustic-Based Irrigation Monitoring Technologies in South Africa: A Scoping Review with Machine Learning-Enhanced Evidence Synthesis | |
| dc.type | folyóiratcikk | |
| dc.type | idegen nyelvű folyóiratközlemény külföldi lapban |
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