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

Authors
Seung-Hoon LeeKyu-Sang LimHakkyo LeeJaeyoung HeoJae-Min KimSeon-Ho KimSung-Hak KimJong-Eun ParkDajeong LimJae-Don Oh김부민Song-Won YooDonghyun ShinJun-Mo Kim
Issue Date
Mar-2025
Publisher
Korean Society of Animal Sciences and Technology
Keywords
Smart farm; Livestock; Data recirculation; Big data; Data warehouse; Digital twin
Citation
Journal of Animal Science and Technology, v.67, no.2, pp 303 - 313
Pages
11
Indexed
SCIE
SCOPUS
KCI
Journal Title
Journal of Animal Science and Technology
Volume
67
Number
2
Start Page
303
End Page
313
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/78031
DOI
10.5187/jast.2025.e21
ISSN
2672-0191
2055-0391
Abstract
A 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.
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