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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas

Participants in the publication
Aser Mata (Author)
David Moffat (Author)
Sílvia Almeida (Author)
Marko Radeta (Author)
William Jay (Author)
Nigel Mortimer (Author)
Katie Awty-Carroll (Author)
Oliver R. Thomas (Author)
Vanda Brotas (Author)
MARE
Steve Groom (Author)

Date of Publication
2024-09

Where published
Ecological Informatics

Publication Identifiers
ISSN - 1574-9541

Publisher
Elsevier BV

Volume
82

Starting page
102708

Document Identifiers
DOI - https://doi.org/10.1016/j.ecoinf.2024.102708
URL - https://doi.org/10.1016/j.ecoinf.2024.102708

Rankings
Web Of Science Q1 (2023) - 5.8 - ECOLOGY
SCIMAGO Q1 (2023) - 1.101 - Ecology
SCIMAGO Q1 (2023) - 1.101 - Ecological Modeling
SCIMAGO Q1 (2023) - 1.101 - Computer Science Applications
SCOPUS Q1 (2023) - 8.3 - Ecology
SCOPUS Q1 (2023) - 8.3 - Ecological Modeling
SCOPUS Q1 (2023) - 8.3 - Computer Science Applications


Export

APA
Aser Mata, David Moffat, Sílvia Almeida, Marko Radeta, William Jay, Nigel Mortimer, Katie Awty-Carroll, Oliver R. Thomas, Vanda Brotas, Steve Groom, (2024). Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas. Ecological Informatics, 82, ISSN 1574-9541. eISSN . https://doi.org/10.1016/j.ecoinf.2024.102708

IEEE
Aser Mata, David Moffat, Sílvia Almeida, Marko Radeta, William Jay, Nigel Mortimer, Katie Awty-Carroll, Oliver R. Thomas, Vanda Brotas, Steve Groom, "Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas" in Ecological Informatics, vol. 82, 2024. 10.1016/j.ecoinf.2024.102708

BIBTEX
@article{65663, author = {Aser Mata and David Moffat and Sílvia Almeida and Marko Radeta and William Jay and Nigel Mortimer and Katie Awty-Carroll and Oliver R. Thomas and Vanda Brotas and Steve Groom}, title = {Drone imagery and deep learning for mapping the density of wild Pacific oysters to manage their expansion into protected areas}, journal = {Ecological Informatics}, year = 2024, volume = 82 }