Fish farming using AI and advanced data analysis

Land-based recirculating fish farming is becoming more common both in Sweden and internationally. There is great potential here to use sensors, artificial intelligence (AI) and advanced data analysis to optimize operations for significantly increased economic and ecological sustainability.

In a feasibility study for this project, methods for optimized, data-driven operation of a land-based fish farm have been developed and demonstrated. These methods will now be automated and implemented in a production environment in collaboration with the Swedish fish production industry. The project also prepares for commercialization of the results.

The fish must be given the right amount of feed

The long-term aim of this project is to enable optimization of fish production using sensors and advanced data analysis. Through an above-water camera, combined with underwater microphones and water quality sensors, fish activity and feed consumption will be identified. This makes it possible to optimize feeding and reduce feed consumption.

Increasing sustainability and efficiency

The project will also develop cost-effective methods to estimate fish biomass, size distribution and growth rate. This information will make it possible to identify the right time of slaughter, allowing further optimization of processes and increased efficiency.

The results enable a far-reaching digitalization of the land-based fish farming industry with the potential to result in major sustainability and profitability gains and the preservation of our oceans.