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  5. Evidence‐based guidelines for automated conservation assessments of plant species.

Evidence‐based guidelines for automated conservation assessments of plant species.

Resource type
Journal article
Creator (person)
Walker, Barnaby E.
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Leão, Tarciso C.C.
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Bachman, Steven P.
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Lucas, Eve
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Lughadha, Eimear Nic
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Date published
September 1, 2022
Organisational unit
Science
Project(s)
Priority 4: Accelerated Taxonomy
'UK’s Crop Diversity 361 Bioinformatics HPC'
Priority 3: Digital Revolution
Priority 1: Ecosystem Stewardship
'The IUCN Red List of Threatened Species and Toyota Motor Corporation’
Funder
Funder nameISNIAwards
Biotechnology and Biological Sciences Research Council, United Kingdom
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BBSRC grant BB/S019669/1
Journal title
Conservation Biology
Volume
37
Issue
1
Article number
e13992
Publisher
Wiley
Place of publication
US
ISSN
0888-8892
eISSN
1523-1739
Official URL
https://doi.org/10.1111/cobi.13992
Rights statement
In Copyright
DOI
10.1111/cobi.13992
Alternate identifier
cobi.13992
Keywords
IUCN Red List
Automation
Biodiversity conservation
Machine learning
Additional information
IF = 6.56 (2022-2023)
Managed by the British Library and supported by the AHRC

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