Journal of Animal Breeding and Genomics (J Anim Breed Genom)
Chan-Woo Lee1†, Dae-Hyun Kim3†, Hee-Jin Kim4, Dan-Il Kim5,6*, Yoon-Seok Lee1,2*
1Department of Biotechnology, Hankyong National University, Gyeonggi-do, Anseong, 17579, Republic of Korea
2Center for Genetic Information, Hankyong National University, Gyeonggi-do, Anseong, 17579, Republic of Korea
3Livestock Research Institute, Gyeongsangbuk-do, Yeongju, 36052, Korea
4uLikeKorea Co., Inc. Seoul, 05836, Korea
5Institute of Green-Bio Science and Technology, Seoul National University, Gangwon-do, Pyeongchang, 25354, Korea
6College of Veterinary Medicine, Seoul National University, Seoul, 08826, Korea
Correspondence to Yoon Seok Lee, E-mail: yoonseok95@hknu.ac.kr; Dan Il Kim, E-mail: danilkim@snu.ac.kr
Volume 6, Number 2, Pages 35-44, June 2022.
Journal of Animal Breeding and Genomics 2022, 6(2), 35-44. https://doi.org/10.12972/jabng.20220005
Received on February 16, 2022, Revised on June 24, 2022, Accepted on June 27, 2021, Published on June 30, 2022.
Copyright © 2022 Korean Society of Animal Breeding and Genetics.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0).
The purpose of this study was to propose a plan for constructing a regional Hanwoo big data center to provide an integrated management system of feeding, reproduction, and genetic improvement using biological and environmental data. The regional big data center for the Hanwoo industry was constructed as described below. First, Hanwoo digital data were collected from the ICT (Information and Communications Technology) equipment in each farm, ICT companies, and related organizations. Thereafter, the collected data were subjected to file storage real-time using agent, agentless, FTP (File Transfer Protocol), and Open API (Open Application Programming Interface) methods. Finally, to monitor and control disease and reproduction, a Hanwoo big data platform based on AI (Artificial Intelligence) was established. Regional Hanwoo big data center can provide services to users according to a data connection plan appropriate to the situation in real-time Hanwoo public to open big data platform. Therefore, the regional Hanwoo big data center could have positive effects, such as maximizing management efficiency of farms by reducing livestock losses, reducing total feeding cost, and reproduction improvement on farms. Moreover, employment opportunities can be created by recruiting labor related to the big data industry through a public to open data platform. Notably, Hanwoo big data platform is expected to expand to other industries and new markets for services.
Artificial Intelligence, Big data, Information and Communications Technology, Hanwoo, Open data
This work was supported by Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, and Forestry (IPET) through Advanced Production Technology Development Program, funded by Ministry of Agriculture, Food and Rural Affairs (MAFRA) (318103-02).
Bae HH, Son JY, Shin JS, Seo DK. 2018. Livestock technology development-Economic feasibility analysis method and case. Jeollabuk-do. Korea.
Cheon DW, Seo DK, Son JY, Park YD. 2016. Recent livestock industry status and prospect. National Institute of Animal Science. Jeollabuk-do. Korea.
Ham YH, Jeong JH, Song JJ, Hwang JA, Lee EJ, Heo YJ, Song JH, Jo SI, Jeon YE, Joo SK, Lee CH, Shin HC, Lee WS, Yoon HK, Lee HD, Han GS, Kim KH, Lee JS, Lee MH, No SY, Park SM, Park JH, Jeong HY, Kim SB, Lee HJ, Bok JD< Lee EB, Son YJ, Kim MA. 2018. The study on the livestock ICT standard, utilization of Big data and the technology for health monitoring of dairy cattle. Rural Development Administration. Jeollabuk-do. Korea.
Huang J, Guo P, Xie Q, Meng X. 2015. Cloud Services Platform based on Big Data Analytics and its Application in Livestock Management and Marketing. In Proceeding of Information Science and Cloud Computing. 63.
Jang YJ, Kim TW. 2019. Smart Farm Expansion and Distribution Project Status and Tasks. National Assembly Research Service. Seoul. Korea.
Jeong YC, Han EY. 2014. Research on strategies to promote the big data industry. Korea Information Society Development Institute. Chungcheongbuk-do Korea.
Kang MA, Kang SK, Im YS, Lee HK. 2016. U-IT-based smart dairy integrated management system development. Ministry of Agriculture, Food and Rural Affairs. Sejong. Korean.
Kim HJ, Oh SE, Ahn SH, Choi BG. 2017. Real-time Monitoring Method of Cattles Temperature for FMD Prevention and Its Case Studies. Korean Institute of Information Technology. 15(5):141-150.
[DOI]
Kim JH, Kim MC, Hwang JY, Han KN, Jeon MJ, Jeong MS. 2014. A Research on the Status of the ICT Industry Convergence and Industry Ripple Effect. Ministry of Science, ICT and Future Planning. Sejong. Korea.
Kim JK, Oh MG, Choi DO. 2016. Design of Calf Disease Consulting System Using Big Data. The Korean Entertainment Industry Association. 4852.
Kim JK, Oh MG, Choi DO. 2017. Design of Big Data PlatForm for Calfscour. The Korean Entertainment Industry Association. 109-112.
Kim JS. 2012. Consideration of big data utilization and related technologies. The Korea Contents Association. 10(1):34-40.
[DOI]
Kim YJ, Seo DS, Park JY, Park YK. 2016. Research for Smart farm operation status analysis and development direction. Ministry of Agriculture, Food and Rural Affairs. Sejong. Korea.
Korea-China Science & Technology Cooperation Center. 2018. China’s Big Data Support Policy and Trends. Korea-China Science & Technology Cooperation Center. Beijing. China.
Korea Internet & Security Agency, 2014. Analysis of Japan’s Big Data Policy Implementation Status and Implications in Korea Ⅰ. Global Information & Communications Technology (ICT) Broadcasting Weekly Issue, Korea Internet & Security Agency.
KOSTAT (Statistics Korea), Korea institute for animal products quality evaluation. 2020a. Livestock trend survey. Number of farms and number of animals by province/breeding scale of korea cattle. https://kosis.kr/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ZTITLE&parmTabId=M_01_01&outLink=Y&entrType=#content-group on 1 July 2021.
KOSTAT (Statistics Korea), Korea institute for animal products quality evaluation. 2020b. Livestock trend survey. Number of farms and number of animals by species and province. https://kosis.kr/statisticsList/statisticsListIndex.do?menuId=M_01_01&vwcd=MT_ZTITLE&parmTabId=M_01_01&outLink=Y&entrType= on 1 July 2021.
Ministry of the Interior and Safety. 2019. Public data management guidelines. Ministry of the interior and safety notice Act No. 2019-71.
National IT Industry Promotion Agency. 2014. The UK government’s strategy for intension big data capabilities. National IT Industry Promotion Agency. Chungcheongbuk-do. Korea.
Open Government Data Portal. 2020. Government data map. https://www.data.go.kr/tcs/opd/ndm/view.do on 1 July 2021.
Park SH, Jo HS, Jang JH, Ban HJ, Park SY, 2016. Research for data experts training plan. Korea Data Agency. Seoul. Korea.
Personal information protection commission. 2020. Personal information protection act. Personal information protection commission notice Act No. 16930.
Pomar J, Lopez V, Pomar C. 2011. Agent-based simulation framework for virtual prototyping of advanced livestock precision feeding systems. Computers and Electronics in Agriculture. 78:88-97.
[DOI]
Samjung KPMG Economic Research Institute. 2016. Smart farm industry analysis and success case. Samjung KPMG Economic Research Institute. Seoul. Korea.
Seo DH, Hwang WS, Kim SH, Kim SM, Oh IH. 2015. Analysis of economic effects of ICT convergence. Korea Institute for Industrial Economics & Trade. Sejong. Korean.
Seong KI, Han MH, Kim BH, Kim HG, Park KH. 2015. Analyzing and countermeasure for smart livestock farming based on ICT. Ministry of Science, ICT and Future Planning. Sejong. Korea.
Son CM, Nam SH, Na KD, Son CH. 2019. Agricultural big data center construction plan. Gyeongbuk Provincial Government. Gyeongsangbuk-do. Korea.
Song JH, Song MH, Park HB, Jang SA. 2018. A study on realities of conditions for the activation of data center industry ecosystem. Ministry of Science and ICT. Sejong. Korea.