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

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Title: Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data.
Authors: Fergus, Paul1 (AUTHOR) c.chalmers@ljmu.ac.uk, Chalmers, Carl1 (AUTHOR), Matthews, Naomi2 (AUTHOR) n.matthews@chesterzoo.org, Nixon, Stuart2 (AUTHOR) s.nixon@chesterzoo.org, Burger, André3 (AUTHOR) andre@welgevonden.org, Hartley, Oliver4 (AUTHOR) oh57@st-andrews.ac.uk, Sutherland, Chris4 (AUTHOR) css6@st-andrews.ac.uk, Lambin, Xavier5 (AUTHOR) x.lambin@abdn.ac.uk, Longmore, Steven6 (AUTHOR) s.n.longmore@ljmu.ac.uk, Wich, Serge7 (AUTHOR) s.a.wich@ljmu.ac.uk
Source: Sensors (14248220). Dec2024, Vol. 24 Issue 24, p8122. 31p.
Database: Academic Search Ultimate
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ISSN:14248220
DOI:10.3390/s24248122