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dc.contributor.authorNordmo, Tor-Arne Schmidt
dc.contributor.authorKvalsvik, Ove
dc.contributor.authorKvalsund, Svein Ove
dc.contributor.authorHansen, Birte
dc.contributor.authorHalvorsen, Pål
dc.contributor.authorHicks, Steven
dc.contributor.authorJohansen, Dag
dc.contributor.authorJohansen, Håvard D.
dc.contributor.authorRiegler, Michael Alexander
dc.date.accessioned2022-11-24T11:23:04Z
dc.date.available2022-11-24T11:23:04Z
dc.date.issued2022-06-02
dc.description.abstractFishAI: Sustainable Commercial Fishingis the second chal-lenge at theNordic AI Meetfollowing the successful MedAI,which had a focus on medical image segmentation and trans-parency in machine learning (ML)-based systems. FishAI fo-cuses on a new domain, namely, commercial fishing and howto make it more sustainable with the help of machine learning.A range of public available datasets is used to tackle three spe-cific tasks. The first one is to predict fishing coordinates tooptimize catching of specific fish, the second one is to createa report that can be used by experienced fishermen, and thethird task is to make a sustainable fishing plan that provides aroute for a week. The second and third task require to someextend explainable and interpretable models that can provideexplanations. A development dataset is provided and all meth-ods will be tested on a concealed test dataset and assessed byan expert jury.en_US
dc.identifier.citationNordmo, Kvalsvik, Kvalsund, Hansen, Halvorsen, Hicks, Johansen, Johansen, Riegler. Fish AI: Sustainable Commercial Fishing Challenge. Nordic Machine Intelligence (NMI). 2022;2(2)en_US
dc.identifier.cristinIDFRIDAID 2046492
dc.identifier.doi10.5617/nmi.9657
dc.identifier.issn2703-9196
dc.identifier.urihttps://hdl.handle.net/10037/27523
dc.language.isoengen_US
dc.relation.ispartofNordmo, T.A.S. (2023). Dutkat: A Privacy-Preserving System for Automatic Catch Documentation and Illegal Activity Detection in the Fishing Industry. (Doctoral thesis). <a href=https://hdl.handle.net/10037/29768>https://hdl.handle.net/10037/29768</a>.
dc.relation.journalNordic Machine Intelligence (NMI)
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.subjectVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551en_US
dc.subjectVDP::Technology: 500::Information and communication technology: 550::Computer technology: 551en_US
dc.titleFish AI: Sustainable Commercial Fishing Challengeen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)