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dc.contributor.authorFernandes, Jose A.
dc.contributor.authorReite, Karl Johan
dc.date.accessioned2022-03-31T11:54:00Z
dc.date.available2022-03-31T11:54:00Z
dc.date.created2021-09-22T09:04:34Z
dc.date.issued2021
dc.identifier.isbn978-3-030-71068-2
dc.identifier.urihttps://hdl.handle.net/11250/2988842
dc.description.abstractThe digitalization of the fisheries sector has been limited. However, in this book, the potential for making the sector more competitive and resilient through higher digitalization has been demonstrated using pelagic fisheries as an example. COVID-19 has recently shown the resilience advantages of having a more digitalized industry that makes larger use of big data and artificial intelligence. Moreover, these technologies can help us to mitigate climate change due to lower emissions and to adapt to climate change-induced changes of species distribution. One of the challenges is the accessibilty of enough cost-effective information. This can be achieved if fishing vessels becme also scientific data gathering platforms in a circular data economy. Then the fishing vessels are both users and providers of environmental data.en_US
dc.language.isoengen_US
dc.publisherSpringer, Chamen_US
dc.relation.ispartofBig Data in Bioeconomy: Results from the European DataBio Project
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectStock assessmentsen_US
dc.subjectOperational choicesen_US
dc.subjectMarket predictionen_US
dc.subjectPelagic speciesen_US
dc.subjectFisheries planningen_US
dc.subjectFuel consumption reductionen_US
dc.subjectForecastingen_US
dc.subjectFisheries digitalizationen_US
dc.titleConclusions and Future Vision on Big Data in Pelagic Fisheries Sustainabilityen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s) 2021en_US
dc.source.pagenumber411-414en_US
dc.identifier.doi10.1007/978-3-030-71069-9_31
dc.identifier.cristin1936917
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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