The use of Algorithm-Assisted Feeding for Innovation and Increased Productivity in Aquaculture


  • Knut Ingar Westeren Nord University, Faculty of Social Sciences, Levanger, Norway
  • Morten Helbæk Nord University, Nord Business School, Levanger, Norway
  • Øyvind Korsøen Bluegrove A/S, Norway



aquaculture, innovation, sustainability, artificial intelligence


The need for innovation in aquaculture has escalated in tandem with the use of advanced production equipment and high-level biological competence. A Norwegian company, NorseAqua A/S, produces sonar equipment that provides both images and data on how the salmon are distributed in the cage. The sonar data provides a basis for calculating algorithms between the depth of salmon in the cage and other key factors used to make decisions about how the salmon should be fed. The first aspect of the project was to investigate how the equipment was working and verify that the sonar data was readable. The second aspect was to analyze the relationships between important variables of significance for the feeding process of the salmon (including the sonar measurements). A third aspect was determining what understanding the feeding operators gained from the information produced. The results show that it is possible to develop algorithms based on the sonar data that improve feeding efficiency.