Underwater drones adapted to cold Nordic waters, and sensors that listen to the sounds of fish eating. These are some of the AI solutions that could give European sea farmers a boost
Underwater drones adapted to cold Nordic waters, and sensors that listen to the sounds of fish eating. These are some of the AI solutions that could give European sea farmers a boost to compete globally. Researcher Fredrik Gröndahl explains how maching learning is being developed to take on operational challenges and reduce costs in aquaculture, particularly in inaccessible waters far offshore.
In the global seafood market, European aquaculture could expect a boost from AI solutions developed by researchers at KTH Royal Institute of Technology in Stockholm.
At the Blue Food research center, KTH researcher Fredrik Gröndahl oversees several projects that harness machine learning to take on operational challenges and reduce costs in aquaculture, particularly in inaccessible waters far offshore.
Seafood farmers incur high costs in hiring the vessels and divers needed to access seaweed beds, which are increasingly being located farther from shore in order to avoid conflict with other coastline uses and property rights.
“We are trying to find ways to be more and more competitive," says Fredrik Gröndahl, director of the Blue Food Seafood Centre. Several AI projects are in the works, with the aim of boosting competitiveness in the global sea farming industry.
Photo Fredrik
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