SOURCE-LINKED INTELLIGENCE
Using echoSOUNDer data from fishing vessels to TRACK ecosystem impacts of the krill fishery
Using echoSOUNDer data from fishing vessels to TRACK ecosystem impacts of the krill fishery SOUNDTRACK is a project that combines deep learning methods in acoustic data analysis with field sampling and fisheries science to investigate the ecosystem impacts of the Antarctic krill fishery and to improve its management. Antarctic krill is a key species in the Antarctic marine ecosystem and the target of a growing commercial fishery. Given krill's ecological importance, concerns have been raised about potential negative ecosystem impacts from fishing. Resource-efficient approaches to support fisheries monitoring are particularly valuable in this context due to the high costs associated with data collection in Antarctica. In SOUNDTRACK, we will first develop a segmentation model to extract dives of air-breathing krill predators, such as whales, seals and penguins, from historical acoustic data recorded by krill fishing vessels during their operations. Acoustic data from fishing vessels are under-utilised, but provide a
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 401232
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.