기술·경제·환경적 측면에서의 스마트양식 산업화 모델과 기술개발 방향
Smart Aquaculture Industrialization Model and Technology Development Direction Considering Technology, Economy and Environment
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Owing to the increase in the elderly population at aquaculture farm and decrease in the number of aquaculture farmers, the need to improve aquaculture production system is increasing. In addition, asvirtual interactions become new normal after COVID-19 pandemic, the speed at which science and technology such as the internet of things (IoT), information and communications technology (ICT), and artificial intelligence (AI) are applied to each field is accelerating. Efforts are being made to enhance the quality of life of aquaculture farmer and competitiveness of the aquaculture industry by incorporating digital technology. This study analyzed national and global aquaculture technology development and policy trends, smart aquaculture terminology application scenarios, and prior research cases to propose smart aquaculture industrialization models and technology development directions considering technology, economy, and environment. This study can also provide valuable reference for promoting smart and efficient development of aquaculture.
Abstract
Owing to the increase in the elderly population at aquaculture farm and decrease in the number of aquaculture farmers, the need to improve aquaculture production system is increasing. In addition, asvirtual interactions become new normal after COVID-19 pandemic, the speed at which science and technology such as the internet of things (IoT), information and communications technology (ICT), and artificial intelligence (AI) are applied to each field is accelerating. Efforts are being made to enhance the quality of life of aquaculture farmer and competitiveness of the aquaculture industry by incorporating digital technology. This study analyzed national and global aquaculture technology development and policy trends, smart aquaculture terminology application scenarios, and prior research cases to propose smart aquaculture industrialization models and technology development directions considering technology, economy, and environment. This study can also provide valuable reference for promoting smart and efficient development of aquaculture.
참고문헌 (27)
- "The EU's New 2030 Aquaculture Strategy" (2023)[URL]
- Balakrishnan S, "Design and development of IoT based smart aquaculture system in a cloud environment", Int J Oceans Oceanogr, 13, pp.121~127 (2019)
- Min-Chie Chiu, "Development of smart aquaculture farm management system using IoT and AI-based surrogate models", Journal of Agriculture and Food Research, 9, pp.100357~ (2022), Elsevier BV[DOI]
- Chrispin L, "Application of artificial intelligence in fisheries and aquaculture", Biot Res Today, 2, pp.499~502 (2020)
- 최주원, "미래 스마트 양식 플랫폼의 구축방안에 대한 연구", 정보처리학회논문지. 컴퓨터 및 통신시스템, 9(7), pp.157~164 (2020), 한국정보처리학회[DOI]
- "Horizon Europe" (2021)[URL]
- Muhammad Iskandar Dzulqornain, "Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration", MATEC Web of Conferences, 164, pp.01030~ (2018), EDP Sciences[DOI]
- FAO(Food and Agriculture Organization), "The State of World Fisheries and Aquaculture 2020", FAO, 1~244 (2020)
- Zhuhua Hu, "A method overview in smart aquaculture", Environmental Monitoring and Assessment, 192(8), pp.493~ (2020), Springer Science and Business Media LLC[DOI]
- 황주애, "바이오플락 기반 아쿠아포닉스 시스템 개발에 의한 뱀장어(Anguilla japonica)와 재배작물의 성장에 미치는 영향", 한국수산과학회지, 54(4), pp.418~425 (2021), 한국수산과학회[DOI]
- 정훈, "국내 스마트양식 기술 동향", 전자통신동향분석, 36(5), pp.62~73 (2021), 한국전자통신연구원[DOI]
- Taher Kassem, "Smart and Sustainable Aquaculture Farms", Sustainability, 13(19), pp.10685~ (2021), MDPI AG[DOI]
- 김민수, "바이오플락(Bio-floc) 시스템이 사육 환경개선 및 대하(Fenneropenaeus chinensis)의 성장에 미치는 영향", 한국수산과학회지, 48(5), pp.688~695 (2015), 한국수산과학회
- "Census of Agriculture, Forestry and Fisheries" (2023)[URL]
- 권인영, "특허 현황 분석과 전문가 및 어업인 수요 조사를 통한 스마트 수산 양식 기술 개발 방향 설정", 수산해양기술연구, 55(4), pp.378~391 (2019), 한국수산해양기술학회[DOI]
- 이동길, "스마트양식 기술 개발과 산업화 방안", 수산해양교육연구, 33(2), pp.412~420 (2021), 한국수산해양교육학회[DOI]
- 이동훈, "일인산칼륨(MKP)이 함유된 사료 내 단백질 수준이 Hybrid BFT 아쿠아포닉스(HBFT-AP)의 뱀장어(Anguilla japonica) 및 엽채류의 생산성과 수질 변화에 미치는 영향", 한국수산과학회지, 53(4), pp.606~619 (2020), 한국수산과학회[DOI]
- A Study on the Industrialization of Advance Aquaculture Technology, "Ma CM", Korea Maritime Institute, 1~96 (2015)
- "Fisheries Innovation 2030" (2019)[URL]
- "10-year Sea Grant Aquaculture Vision" (2016)[URL]
- 박미선, "다영양입체양식을 위한 다시마(Saccharina japonica)의 생물여과효과", 한국수산과학회지, 45(4), pp.351~357 (2012), 한국수산과학회
- K. P. Rasheed Abdul Haq, "Water Quality Prediction for Smart Aquaculture Using Hybrid Deep Learning Models", IEEE Access, 10, pp.60078~60098 (2022), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- "A National Strategic Plan for Aquaculture Research" (2022)[URL]
- Thi Thu Em Vo, "Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision", Electronics, 10(22), pp.2882~ (2021), MDPI AG[DOI]
- Anamika Yadav, "A Concise Review on the Recent Developments in the Internet of Things (IoT)-Based Smart Aquaculture Practices", Rev Fish Sci Aquac, 31(1), pp.103~118 (2022), Informa UK Limited[DOI]
- Xinting Yang, "Deep learning for smart fish farming: applications, opportunities and challenges", Reviews in Aquaculture, 13(1), pp.66~90 (2020), Wiley[DOI]
- 이명기, "어류의 외부형질 측정 자동화 개발 현황", 한국수산과학회지, 55(5), pp.638~644 (2022), 한국수산과학회[DOI]