A Review and Future Trends of Precision Livestock Over Dairy and Beef Cow Cattle With Artificial Intelligence
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Enxeñaría Industrial | es_ES |
| UDC.endPage | 49 | es_ES |
| UDC.grupoInv | Ciencia e Técnica Cibernética (CTC) | es_ES |
| UDC.journalTitle | Logic Journal of the IGPL | es_ES |
| UDC.startPage | 1 | es_ES |
| dc.contributor.author | Michelena, Álvaro | |
| dc.contributor.author | Fontenla-Romero, Óscar | |
| dc.contributor.author | Calvo-Rolle, José Luis | |
| dc.date.accessioned | 2024-10-28T07:31:03Z | |
| dc.date.available | 2024-10-28T07:31:03Z | |
| dc.date.issued | 2024 | |
| dc.description | Funding for open access charge: Universidade da Coruña/CISUG. | es_ES |
| dc.description.abstract | [Abstract] The demand for meat and dairy products is expected to rise significantly in the current demographic and economic growth context. Concurrently, various factors, including financial crises and reduced profitability, have decreased the number of livestock farms. Consequently, the livestock industry is undergoing intensification, with an increased number of cows per farm. This shift makes the management of animals increasingly complex. Amid these challenges, the society’s growing concern for animal health and welfare and the quality of consumed products underscores the importance of systems that aid in the individual and herd-level monitoring and control within livestock operations. In this scenario, precision livestock farming has become essential with the emergence of new sensors and technologies and the evolution of artificial intelligence. Against this backdrop, this paper reviews systems and techniques used in precision livestock farming to detect anomalies caused by reproductive processes and diseases in dairy and beef cattle. The article analyzes sensors and technologies employed, presents key studies conducted, and discusses the most commonly used artificial intelligence techniques in detecting prevalent anomalies. | es_ES |
| dc.description.sponsorship | Álvaro Michelena was supported by the Spanish Ministry of Universities (https://www.universidades.gob.es/), under the “Formación de Profesorado Universitario” grant with reference FPU21/00932. CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01). | es_ES |
| dc.description.sponsorship | Xunta de Galicia; ED431G 2023/01 | es_ES |
| dc.identifier.citation | Álvaro Michelena, Óscar Fontenla-Romero, José Luis Calvo-Rolle, A review and future trends of precision livestock over dairy and beef cow cattle with artificial intelligence, Logic Journal of the IGPL, 2024, jzae111, https://doi.org/10.1093/jigpal/jzae111 | es_ES |
| dc.identifier.doi | https://doi.org/10.1093/jigpal/jzae111 | |
| dc.identifier.issn | 1368-9894 | |
| dc.identifier.uri | http://hdl.handle.net/2183/39830 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Oxford University Press | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MUNI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/FPU21%2F00932/ES | es_ES |
| dc.relation.uri | https://doi.org/10.1093/jigpal/jzae111 | es_ES |
| dc.rights | Creative Commons CC BY license http://creativecommons.org/licenses/by/4.0/ | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
| dc.subject | Precision livestock | es_ES |
| dc.subject | Smart collar | es_ES |
| dc.subject | Classification | es_ES |
| dc.subject | Anomaly detection | es_ES |
| dc.subject | Artificial intelligence | es_ES |
| dc.title | A Review and Future Trends of Precision Livestock Over Dairy and Beef Cow Cattle With Artificial Intelligence | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 0e442a82-5ca4-440a-8240-4c806328edf8 | |
| relation.isAuthorOfPublication | 3eef0200-4ae7-4fc8-9ffe-2e7928ffd1cd | |
| relation.isAuthorOfPublication | 89839e9c-9a8a-4d27-beb7-476cfab8965e | |
| relation.isAuthorOfPublication.latestForDiscovery | 0e442a82-5ca4-440a-8240-4c806328edf8 |
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