Article
The vision of Big Data Recirculation for Smart Livestock Farming in South Korea
Seung-Hoon Lee1,13, Kyu-Sang Lim2,13, Hakkyo Lee3,13, Jaeyoung Heo3,13, Jaemin Kim4,13, Seon Ho Kim5,13, Sung-Hak Kim6,13, Jong-Eun Park7,13, Dajeong Lim8,13, Jae-Don Oh9,13, Bu-Min Kim10,13, Song-Won Yoo11,13, Donghyun Shin12,13,*, Jun-Mo Kim1,13,**
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1Department of Animal Science and Technology, Chung-Ang University, Anseong 17546, Korea.
2Department of Animal Resources Science, Kongju National University, Yesan 32439, Korea.
3Department of Animal Biotechnology, Jeonbuk National University, Jeonju 54896, Korea.
4Division of Applied Life Science, Gyeongsang National University, Jinju 52828, Korea.
5Department of Animal Science and Technology, Sunchon National University, Suncheon 57922, Korea.
6Department of Animal Science, Chonnam National University, Gwangju 61186, Korea.
7Department of Animal Biotechnology, College of Applied Life Science, Jeju National University, Jeju 63243, Korea.
8Department of Animal Resources Science, Chungnam National University, Daejeon 34134, Korea.
9Department of Biotechnology, Hankyong National University, Anseong 17579, Korea.
10National Institute of Animal Science, Rural Development Administration, Wanju 55315, Korea.
11Korea Institute for Animal Products Quality Evaluation, Sejong 30100, Korea.
12Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Korea.
13The Korean Society of Animal Big Data Research, Korean Society of Animal Science and Technology, Seoul 06367, Korea.
*Corresponding Author: Donghyun Shin, Department of Agricultural Convergence Technology, Jeonbuk National University, Jeonju 54896, Korea, Republic of. The Korean Society of Animal Big Data Research, Korean Society of Animal Science and Technology, Seoul 06367, Korea, Republic of. Phone: +82-63-219-5614. E-mail:
sdh1214@gmail.com.
**Corresponding Author: Jun-Mo Kim, Department of Animal Science and Technology, Chung-Ang University, Anseong 17546, Korea, Republic of. The Korean Society of Animal Big Data Research, Korean Society of Animal Science and Technology, Seoul 06367, Korea, Republic of. Phone: +82-31-670-3263. E-mail:
junmokim@cau.ac.kr.
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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.
Keywords: Smart farm; Livestock; Data recirculation; Big data; Data warehouse; Digital twin