Digital Twin-Based Smart Aquafarm–Case Study 


Vol. 48,  No. 11, pp. 1479-1490, Nov.  2023
10.7840/kics.2023.48.11.1479


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  Abstract

The increasing need to improve the efficiency and sustainability of the fisheries industry in response to climate change, environmental pollution, and the decline of the labor force has led to efforts in implementing ICT technologies such as digital twins. This applies not only to agriculture and livestock but also to the fisheries sector, aiming for scalability and enhanced productivity. The adoption of smart aquafarming through the utilization of digital twins enables long-term data collection and leverages accumulated data to enable digitization and intelligence, thereby directly impacting the competitiveness of the fisheries industry. This paper examines case studies of the application of digital twins, an emerging technology that offers economic improvements and optimal growth environments in the fields of agriculture, livestock, and fisheries. It specifically focuses on the use of digital twins in aquaculture, providing insights into the services and development stages of smart aquafarming by applying digital twins to aquaculture. Furthermore, this paper describes a case that enhances predictive performance to derive energy optimal management plan by improving the replication accuracy of real-world operational schedules and temperature control subdivision processes through the development of a virtual energy model using simulations and data integration with on-site aquafarm.

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[IEEE Style]

J. Goo, S. Lee, D. Park, S. Jo, "Digital Twin-Based Smart Aquafarm–Case Study," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 11, pp. 1479-1490, 2023. DOI: 10.7840/kics.2023.48.11.1479.

[ACM Style]

Jabin Goo, Sang-yeon Lee, Dae-heon Park, and Seng-kyoun Jo. 2023. Digital Twin-Based Smart Aquafarm–Case Study. The Journal of Korean Institute of Communications and Information Sciences, 48, 11, (2023), 1479-1490. DOI: 10.7840/kics.2023.48.11.1479.

[KICS Style]

Jabin Goo, Sang-yeon Lee, Dae-heon Park, Seng-kyoun Jo, "Digital Twin-Based Smart Aquafarm–Case Study," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 11, pp. 1479-1490, 11. 2023. (https://doi.org/10.7840/kics.2023.48.11.1479)
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