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새우양식 환경 모니터링을 위한 센서기술 동향 분석

Sensor technology for environmental monitoring of shrimp farming

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초록

In this study, the IoT sensor technology required for improving the survival rate and high-density productivity of individual shrimp in smart shrimp farming (which involves the usage of recirculating aquaculture systems and biofloc technology) was analyzed. The principles and performances of domestic and overseas water quality monitoring IoT sensors were compared. Furthermore, the drawbacks of existing aquaculture monitoring technologies and the countermeasures for future aquaculture monitoring technologies were examined. In particular, for farming white-legged shrimp, an IoT sensor was employed to collect measurement indicators for managing the water quality environment in real-time, and the IoT sensor-based real-time monitoring technology was then analyzed for implementing the optimal farming environment. The results obtained from this study can potentially contribute to the realization of an autonomous farming platform that can improve the survival rate and productivity of shrimp, achieve feed reduction, improve the water quality environment, and save energy.

Abstract

In this study, the IoT sensor technology required for improving the survival rate and high-density productivity of individual shrimp in smart shrimp farming (which involves the usage of recirculating aquaculture systems and biofloc technology) was analyzed. The principles and performances of domestic and overseas water quality monitoring IoT sensors were compared. Furthermore, the drawbacks of existing aquaculture monitoring technologies and the countermeasures for future aquaculture monitoring technologies were examined. In particular, for farming white-legged shrimp, an IoT sensor was employed to collect measurement indicators for managing the water quality environment in real-time, and the IoT sensor-based real-time monitoring technology was then analyzed for implementing the optimal farming environment. The results obtained from this study can potentially contribute to the realization of an autonomous farming platform that can improve the survival rate and productivity of shrimp, achieve feed reduction, improve the water quality environment, and save energy.

참고문헌 (37)

  1. J. Bregnballe, "A Guide to Recirculation Aquaculture-2015edition", pp.1~100 (2015), Eurofisg
  2. Jeonbuk-type advanced smart farming system construction project detailed strategy and feasibility study: Aqua digital twin construction project, "S. K. Choi", Korea Inst. Mach. Mater., 1~813 (2020)
  3. "Japan AESAN new industry creation demonstration business report-productivity improvement project of aquaculture business by introduction of IoT", pp.1~84 (2019), Internet Initiative Japan Inc
  4. J. W. Choi, "Establishment of test bed to analyze and improve security vulnerability of IoT-based smart farm controller", Master's, pp.2018
  5. S. W. Kim, "IoT-based automatic water quality measurement system for circulating filtration farms", J. Inst. Electronics Commun. Sci., 12(3), pp.477~484 (2017)
  6. 2019Test Research Project Report, "Y. J. Hwang", Inst. Mar. Fisheries Res, 1~45 (2020)
  7. J. H. Lee, "Guide to eco-friendly biofloc farming technology", Inland Aquaculture Res. Cent., Ministry Oceans Fisheries, Natl. Inst. Fisheries Sci, 1~96 (2018)
  8. J. S. Park, "Environmental Sensor Technology Trend", J. KSME, 54(10), pp.26~33 (2014)
  9. S. C. Lee, "Analysis on the development trend of advanced smart aquaculture technology", J. Soc. Control. Robot Syst., 22(3), pp.26~33 (2016)
  10. 장현진, "IoT기반 지하수 수질모니터링을 위한 다중센서모듈 개발 및 성능평가", 한국정보통신학회논문지, 21(10), pp.1957~1963 (2017), 한국정보통신학회[DOI]
  11. K. Preetham, "Aquaculture monitoring and control system: An IoT based approach", IJARIIT, 5(2), pp.1167~1170 (2019)
  12. I. H. Ko, "Reservoir Turbidity Monitoring and Prediction Technology Development Trend", Water and Future, 2008, pp.41(7), 18~24
  13. Instrumentation for monitoring around marine renewable energy converters: Workshop final report, "A. E. Copping", Pac. Northwest Natl. Lab, ~ (2014)
  14. C. Ullman, "A New Paradigm for Managing Shrimp Feeding", World Aquaculture, pp.30~34 (2017)
  15. 강호용, "고신뢰 무선센서네트워크를 이용한 실시간 수질 모니터링 시스템", 센서학회지, 24(5), pp.331~341 (2015), 한국센서학회[DOI]

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