The vision of big data recirculation for smart livestock farming in South Koreaopen access
- Authors
- Seung-Hoon Lee; Kyu-Sang Lim; Hakkyo Lee; Jaeyoung Heo; Jae-Min Kim; Seon-Ho Kim; Sung-Hak Kim; Jong-Eun Park; Dajeong Lim; Jae-Don Oh; 김부민; Song-Won Yoo; Donghyun Shin; Jun-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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