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The vision of big data recirculation for smart livestock farming in South Korea

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dc.contributor.authorSeung-Hoon Lee-
dc.contributor.authorKyu-Sang Lim-
dc.contributor.authorHakkyo Lee-
dc.contributor.authorJaeyoung Heo-
dc.contributor.authorJae-Min Kim-
dc.contributor.authorSeon-Ho Kim-
dc.contributor.authorSung-Hak Kim-
dc.contributor.authorJong-Eun Park-
dc.contributor.authorDajeong Lim-
dc.contributor.authorJae-Don Oh-
dc.contributor.author김부민-
dc.contributor.authorSong-Won Yoo-
dc.contributor.authorDonghyun Shin-
dc.contributor.authorJun-Mo Kim-
dc.date.accessioned2025-05-07T06:00:09Z-
dc.date.available2025-05-07T06:00:09Z-
dc.date.issued2025-03-
dc.identifier.issn2672-0191-
dc.identifier.issn2055-0391-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/78031-
dc.description.abstractA smart livestock farm is a livestock farm where information and communication technology systems are used. Based on the measured data, these systems can make decisions regarding all processes, including stocking, breeding, shipping, and evaluation. The data generated from smart livestock farms have increased the complexity and diversity of phenotypes. Fused data that integrate environmental and phenotypic information from smart livestock farms with genetic data are valuable for detailed applications in breeding and specifications, as they help understand complex and organic phenotypes and environments. However, their effectiveness is limited by restrictions on data sharing and non-standardized formats. This limitation leads to other restrictions against researchers, such as restrictions on the range of projects, the supply of new technologies or farm species, and policy development or application restrictions. Therefore, promoting a recirculating environment to increase productivity, developing climate-adapted livestock, and implementing policies are necessary. We discuss the smart livestock farm from the perspective of ‘Phenotype = Genetic value + Environment value’. The dissemination of smart livestock big data and essential components, such as data warehouses, is outlined.-
dc.format.extent11-
dc.language영어-
dc.language.isoENG-
dc.publisherKorean Society of Animal Sciences and Technology-
dc.titleThe vision of big data recirculation for smart livestock farming in South Korea-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.5187/jast.2025.e21-
dc.identifier.scopusid2-s2.0-105003639130-
dc.identifier.wosid001505074900002-
dc.identifier.bibliographicCitationJournal of Animal Science and Technology, v.67, no.2, pp 303 - 313-
dc.citation.titleJournal of Animal Science and Technology-
dc.citation.volume67-
dc.citation.number2-
dc.citation.startPage303-
dc.citation.endPage313-
dc.type.docTypeReview-
dc.identifier.kciidART003192194-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaAgriculture-
dc.relation.journalResearchAreaBiotechnology & Applied Microbiology-
dc.relation.journalResearchAreaVeterinary Sciences-
dc.relation.journalWebOfScienceCategoryAgriculture, Dairy & Animal Science-
dc.relation.journalWebOfScienceCategoryBiotechnology & Applied Microbiology-
dc.relation.journalWebOfScienceCategoryVeterinary Sciences-
dc.subject.keywordAuthorSmart farm-
dc.subject.keywordAuthorLivestock-
dc.subject.keywordAuthorData recirculation-
dc.subject.keywordAuthorBig data-
dc.subject.keywordAuthorData warehouse-
dc.subject.keywordAuthorDigital twin-
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