CRIMAC will improve and automate the interpretation of data and images from modern broadband acoustics on research vessels and fishing boats by using cruises and experimental field research, artificial intelligence, drones and inspection technology.
Marine researcher Nils Olav Handegard takes the helm after Egil Ona.
This essay outlines how we use machine learning in marine science in Norway. CRIMAC is collaborating with Visual Intelligence SFI where the Norwegian Computing centre and the University of Tromsø are partners on using machine learning on the vast amounts of data from modern echo sounders.
In this newsletter, project manager Nils Olav Handegard gives an overview of recent CRIMAC activities.
Deep neural networks require a substantial amount of data for training. We have developed a new method for training deep networks for acoustic target classification with only 10 % of the training data compared to traditional methods. The work is a collaboration between the COGMAR project and the Visual Intelligence SFI.
Norway has a long-standing collaboration between science, technology and fishing industry within “smart fisheries”. CRIMAC builds on this collaboration. Click to read our contribution in this special issue of Journal of Technology.
Norway's Institute of Marine Research to use robot platforms and enhanced digital infrastructure to harvest data from the seas.
This is good news for both fishers and fish stocks.
The CRIMAC centre wants the echo sounder itself to be able to distinguish between herring, mackerel, shrimps and gas emissions. Now scientists have completed their first expedition to learn the “dialect” of herring.