Journal Article10.1016/j.compag.2024.108676
Digital Twins in intensive aquaculture — Challenges, opportunities and future prospects
Martin Føre,Morten Omholt Alver,Jo Arve Alfredsen,Adil Rasheed,Thor Hukkelås,Hans vanhauwaer Bjelland,Biao Su,Sveinung Johan Ohrem,Eleni Kelasidi,Tomas Norton,Nikos Papandroulakis +10 more
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TL;DR: This study explores the application of Digital Twin technology in intensive aquaculture, identifying challenges, opportunities, and future prospects, and proposes a pathway for developing Digital Twins in three high-relevance areas: oxygen conditions, fish growth, and in-cage robotics.
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Abstract: Digital Twin technology has emerged to become a key enabling technology in the ongoing transition into Industry 4.0. A Digital Twin is in essence a digital representation of an asset that provides better insight into its dynamics by combining a priori knowledge of the system through mathematical models with online data acquired from sensors and instruments deployed in or at the physical asset. While the technology is seeing increased use across several different industrial, governmental and research sectors, and across scientific disciplines, its application within aquaculture is still in its infancy. However, due to the rapid ongoing development in technological methods in aquaculture, an increasing number of the building blocks required to make a Digital Twin for aquaculture purposes are becoming available. We set out to explore these possibilities by first defining a Digital Twin — what components it should contain, how it should be constructed, and outlining the capability levels of a finished Digital Twin. Our next step was then to explore the state-of-the-art within the different required components and enabling technologies within aquaculture, thereby identifying the current foundation for developing Digital Twin technology in this sector. Following this, we developed concrete case studies that elaborate upon how we by combining existing and developing new technological tools could envision developing Digital Twins for three application areas of high industrial relevance, namely oxygen conditions in sea-cages, fish growth in sea-cages and in-cage robotics and vehicle operations. In conclusion, we present our thoughts on the potential of Digital Twin technology in being a key component in ushering in Industry 4.0 in aquaculture, and outline a pathway on the way onward towards achieving this goal.
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References
Initial Development of the Hybrid Aerial Underwater Robotic System (HAUCS): Internet of Things (IoT) for Aquaculture Farms
Bing Ouyang,Paul S. Wills,Yufei Tang,Jason O. Hallstrom,Tsung-Chow Su,Kamesh Namuduri,Srijita Mukherjee,J. I. Rodriguez-Labra,Yanjun Li,Casey Den Ouden +9 more
TL;DR: The initial deployment of the HAUCS framework at a land-based aquaculture fish farm is presented and the platform, payload, and prediction model are discussed.
33
Air movement sound production by alewife, white sucker, and four salmonid fishes suggests the phenomenon is widespread among freshwater fishes
TL;DR: Sounds of some of the common fishes suspected of producing unidentified air movement sounds in soundscape surveys of freshwater habitats in the New England region of North America suggest the phenomenon may be more ecologically important than previously thought.
Dynamic modelling of pellet distribution in Atlantic salmon (Salmo salar L.) cages
TL;DR: Simulations of the model have indicated that average feed depth during meals could be a key factor in detecting the reduction of the fish’s appetite and deciding when feeding should be reduced or stopped to minimise feed waste.
32
Measurement of swimming pattern and body length of cultured Chinese sturgeon by use of imaging sonar
TL;DR: It is proposed that the acoustic camera is a valuable tool for investigating the behavior of the cultured fish and for estimating their length, however, designs for system installation and the net cage should be enhanced.
32
Modelling of surface and 3D pellet distribution in Atlantic salmon (Salmo salar L.) cages
Morten Omholt Alver,Morten Omholt Alver,Kristoffer Rist Skøien,Martin Føre,Martin Føre,Turid Synnøve Aas,Maike Oehme,Jo Arve Alfredsen +7 more
TL;DR: In this paper, a mathematical model of the feeding process of Atlantic salmon is presented, focusing on the problem of maximising the available feed for the fish while minimising the feed waste.
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