Photo: Frank Gregersen © Nofima


 Production biology  

How can digitalisation help us assess fish welfare?

Time:1. January 2019 – 31. December 2021
Financed by: Nofima
Contact person
Portrettbilde av Lars Erik Solberg
Lars Erik Solberg

Phone: +47 977 80 847

Contact person
Portrettbilde av Thomas Larsson
Thomas Larsson

Phone: +47 413 47 369

Contact person
Portrettbilde av Christopher Noble
Christopher Noble

Senior Scientist
Phone: +47 909 65 133

Contact person
Portrettbilde av Ingrid Måge
Ingrid Måge

Senior Scientist
Phone: +47 900 84 041

The rapid and emerging digitization of the aquaculture industry is a central topic for all stakeholders with an interest in the aquaculture industry.

Digitalisation offers the promise of better tools to aid our understanding of numerous complex aquaculture challenges that can impact upon productivity, fish health and welfare, processes and operations. It can also speed and enhance the end-user’s decision-making process by providing stakeholders with a wider and more rapid overview of potential challenges, helping them make more informed, robust decisions both in the short- and longer-term.

X-ray image of salmon. Photo: K. H. Gannestad, L. E. Solberg © Nofima

The Nofima project DigitalAqua aims to help us improve our assessment and knowledge of fish welfare via digitalisation. It brings together biologists, process technologists, imaging specialists and data scientists to study how digitization can help us get a better picture of how the fish is doing. This can be by:

  • digitising welfare indicators, the tools we use to assess fish welfare, based upon image analysis and novel sensors measuring the fish themselves or the environment they are subjected to.
  • better understanding  the underlying factors that affect fish welfare in aquaculture production systems, using advanced data analytical tools that can extract information from large and complex data sets.

This digital toolbox can help the user identify robust welfare indicators, risks and drivers for fish welfare and analyse the variability in these indicators in relation to the range of conditions the fish are subjected to. Such tools can be used for day-to-day decision support, production monitoring and early warning of anomalies, and serve as input to long-term production improvements.

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