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Development of Smart Livestock Disease Control Strategies and Policy Priorities

스마트 가축방역 추진전략 및 정책 우선순위

  • Lee, Jeongyoung (Graduate Program of Convergence Technology Management Engineering, Yonsei University) ;
  • Ko, Sang Min (Department of Industrial Engineering, Yonsei University) ;
  • Kim, Meenjong (Department of Industrial Engineering, Yonsei University) ;
  • Ji, Yong Gu (Department of Industrial Engineering, Yonsei University) ;
  • Kim, Hoontae (Department of Industrial Engineering, Daejin University)
  • Received : 2018.10.15
  • Accepted : 2018.11.14
  • Published : 2018.11.30

Abstract

With massive and dense production, the livestock industry is rapidly moving into a large-scale, capital-intensive industry especially in swine, poultry, and ducks. However, livestock epidemics can pose a serious threat to the livestock industry and the lives of the people. The government has established and operates the National Animal Protection and Prevention System (KAHIS) since 2013 in order to control the threat, in accordance with the five stages. The digitalized data and information are excellent in ease of management, but it is also pointed out that it is difficult to take countermeasures through linkage with the data in an emergency situation. Recently, the technology of the fourth industrial revolution such as Internet of Things (IoT), Big Data, Artificial intelligence (AI) has been rapidly implemented to the livestock industry, which makes smart livestock disease control system possible. Therefore, this study investigated the domestic and overseas cases which apply 4th Industrial Revolution technology in the industry, and derived 13 possible candidate tasks in the near future. In order to ascertain the priority of policy formulation, we surveyed the expert groups and examined the priority of each of the five stages of the prevention and the priority of each stage. The results of this study are expected to contribute to the establishment of policies for the advancement of smart livestock disease control research and livestock protection.

축산업 분야는 대량적이고 밀집적인 생산이 가능하기 때문에 양돈 양계 오리를 중심으로 대규모 형태의 자본 집약적인 산업으로 빠르게 진행되고 있다. 하지만 전염병이 급격히 확산되면 축산업과 국민 생활에 심각한 위협이 될 수 있다. 이에 대비하기 위해 국가는 가축 방역 5단계에 맞추어 2013년 국가동물방역통합시스템(KAHIS)을 구축하여 운영하고 있다. 이에 따라 구축된 디지털화된 데이터와 정보는 관리의 용이성이 뛰어나지만, 유기적 연계를 통한 대책 마련이 쉽지 않다는 어려움이 지적되고 있다. 최근 사물인터넷(IoT), 빅데이터, 인공지능(AI) 등과 같은 제4차 산업혁명 시대의 기술이 빠르게 발전하면서 이를 도입하여 스마트 가축방역으로의 발전이 추진되고 있다. 이에 따라 본 연구는 5개 방역단계별로 국내외 4차 산업혁명 기술 적용 현황을 조사하여 가까운 시일 내에 실천 가능한 후보 과제 13개를 도출하였다. 정책 수립의 우선순위를 확인하기 위하여 전문가 집단을 대상으로 조사하여 5개 방역단계의 우선순위와 각 단계별 우선순위를 조사하였다. 본 연구의 결과물은 스마트 가축방역 연구, 가축방역 분야의 선진화를 위한 정책 수립에 도움이 될 것으로 기대한다.

Keywords

KJGRBH_2018_v23n4_109_f0001.png 이미지

Smart Livestock Disease Control Framework[11]

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KAHIS System Configuration Diagram[13]

Estimated Share of Smart Livestock Industry in Korea

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Candidate Task in Each Stage

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Importance Ranking of Livestock Quarantine Stage

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Pair Comparison of Livestock Quarantine Stage

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Priority Ranking of Candidates in Prevention Stage

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Priority Ranking of Candidates in Forecast Stage

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Priority Ranking of Candidates in Diagnosis Stage

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Priority Ranking of candidates in Control Stage

KJGRBH_2018_v23n4_109_t0008.png 이미지

References

  1. Animal Disease Notification System, 2018, https://ec.europa.eu/food/animals/animal-diseases/not-system_en.
  2. Animal Health Australia, 2017, NAHIS Program, https://www.animalhealthaustralia.com.au/what-we-do/disease-surveillance/national-animal-health-information-system-nahis/.
  3. Corradini, A., Trevisani, M., Dosa, G., and Padovani, A., "Information management and ante-mortem inspection procedures for the emerging diseases control: Experiences acquired in the epidemiological surveillance of bluetongue and lumpy skin disease," Italian Journal of Food Safety, Vol. 7, No. 1, 2018.
  4. Institute for Information and Communications Technology Promotion, 4th Industrial Revolution and SW R&D Policy, 2017.
  5. Korean Academy of Science and Technology, Will the government neglect repeated foot-and-mouth disease and highly pathogenic avian influenza?, 2017.
  6. Korea Animal Health Integrated System, Livestock epidemic occurrence information, 2017.
  7. Korea Trade Investment Promotion Agency, A Study on the Establishment of the Investment Promotion Strategy in Response to the Fourth Industrial Revolution, 2017.
  8. Lee, Y. H., An advanced case analysis of digital animal husbandry system for realizing smart society, 2011.
  9. Min, K. S., Internet of Things, 2013.
  10. Ministry of Agriculture, Food and Rural Affairs, Comprehensive measures to control infectious diseases of livestock, 2013.
  11. Ministry of Agriculture, Food and Rural Affairs, Development of a U-IT based monitoring system for the feeding and environmental management of livestock animal production, 2014.
  12. Ministry of Agriculture, Food and Rural Affairs, Study on Smart Farm Operation Status and Development Direction, 2016.
  13. Ministry of Agriculture, Food and Rural Affairs, Livestock Disease Management Practice Course: KAHIS in 2017, 2017.
  14. Ministry of Agriculture, Food and Rural Affairs, The Fourth Industrial Revolution and Measures against Livestock Diseases, 2017.
  15. Ministry of Agriculture, Food and Rural Affairs, Smart Livestock disease control in the Age of the Fourth Industrial Revolution, 2018.
  16. National Animal Health Monitoring System, 2018, https://www.aphis.usda.gov/aphis/ourfocus/animalhealth/monitoring-and-surveillance/nahms/about.
  17. National Animal Health Reporting System, 2018, https://www.aphis.usda.gov/aphis/ourfocus/animalhealth/monitoring-and-surveillance/SA_Disease_Reporting.
  18. National Livestock Identification System, 2018, https://www.nlis.com.au/.
  19. Nongsaro, Using ICT equipment for bio-Information collection and medical examination of livestock, 2018, http://www.nongsaro.go.kr/portal/ps/psb/psbk/kidofcomdtyDtl.ps;jsessionid=PoAKQxJKJ6ADa2B6j7nyGH3Ut1IMDFLbDrIhae9yDpxgaWFK0yLT5Me1WYqSVcda.nongsaro-web_servlet_engine1?menuId=PS00067&kidofcomdtyNo=20972.
  20. Paek, M. H., "A Study on RFID Code System for Traceability of Agro-livestock Products," The Journal of Society for e-Business Studies Vol. 12, No. 2, pp. 95-110, 2007.
  21. Park, J. K., "Review of Domestic Research on Smart Manufacturing Technologies," The Journal of Society for e-Business Studies Vol. 23, No. 2, pp. 123-133, 2018. https://doi.org/10.7838/JSEBS.2018.23.2.123
  22. Schwab, K., The fourth industrial revolution, Crown Business, 2017.
  23. Science and Technology Policy Institute, "R&D for Livestock Disease Countermeasures to Strengthen Korea's Social Infrastructure," Science and Technology Policy, Vol. 21, No. 1, 2011.
  24. Seo, J. Y., Scientific and technological countermeasures against infectious animal diseases, 2011.
  25. Sheffield, K., Hunnam, J., Cuzner, T., Morse-McNabb, E., Sloan, S., Nunan, J., Smith, J., Harvey, W., and Lewis, H., "Automated identification of intensive animal production locations from aerial photography," Australian Veterinary Journal, Vol. 96, pp. 323-331, 2018. https://doi.org/10.1111/avj.12732
  26. The Board of Audit and Inspection of Korea, Livestock epidemic prevention and prevention management status, 2017.
  27. You. B. K., A Study on the Smart Farming Diffusion Policies in Gyengbuk Province, 2016.