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Towards Context-Rich Automated Biodiversity Assessments : Deriving AI-Powered Insights from Camera Trap Data

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dc.contributor.authorFergus, Paul
dc.contributor.authorChalmers, Carl
dc.contributor.authorMatthews, Naomi
dc.contributor.authorNixon, Stuart
dc.contributor.authorBurger, André
dc.contributor.authorHartley, Oliver
dc.contributor.authorSutherland, Chris
dc.contributor.authorLambin, Xavier
dc.contributor.authorLongmore, Steven
dc.contributor.authorWich, Serge
dc.contributor.institutionUniversity of Aberdeen.Environment and Food Securityen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.date.accessioned2025-03-27T11:39:01Z
dc.date.available2025-03-27T11:39:01Z
dc.date.issued2024-12-19
dc.description.statusPeer revieweden
dc.format.extent31
dc.format.extent19485395
dc.identifier299566855
dc.identifier22393739-f928-4f28-afbc-35d4b3b7f8a3
dc.identifier85213276953
dc.identifier39771857
dc.identifier.citationFergus, P, Chalmers, C, Matthews, N, Nixon, S, Burger, A, Hartley, O, Sutherland, C, Lambin, X, Longmore, S & Wich, S 2024, 'Towards Context-Rich Automated Biodiversity Assessments : Deriving AI-Powered Insights from Camera Trap Data', Sensors, vol. 24, no. 24, 8122. https://doi.org/10.3390/s24248122en
dc.identifier.doi10.3390/s24248122
dc.identifier.iss24en
dc.identifier.issn1424-8220
dc.identifier.otherORCID: /0000-0003-4643-2653/work/181281317
dc.identifier.urihttps://hdl.handle.net/2164/25216
dc.identifier.vol24en
dc.language.isoeng
dc.relation.ispartofSensorsen
dc.subjectwildlife conservationen
dc.subjectdeep learningen
dc.subjectObject detectionen
dc.subjectlarge language modelsen
dc.subjectvision trasnformeren
dc.subjectbiodiversity monitoringen
dc.subjectQH301 Biologyen
dc.subjectSupplementary Dataen
dc.subjectDASen
dc.subject.lccQH301en
dc.titleTowards Context-Rich Automated Biodiversity Assessments : Deriving AI-Powered Insights from Camera Trap Dataen
dc.typeJournal articleen

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