Digital decision support for fisheries

Research and innovation challenges:

  1. Combination of biomarine models and gathered data to generate information of value, such as predictions of future fishing areas.
  2. Business models which encourage data sharing and the development of commercial decision support services in the fishing industry.

Predicting future fisheries based on biomarine modelling and historic catches is in its infancy, but promising results have been reported. Based on AIS data and artificial intelligence, detection accuracies of 83-97% have been achieved to identify potential fisheries activity.

RA-leader: Dr. Karl-Johan Reite (SINTEF Ocean)