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  5. Improved wood species identification based on multi-view imagery of the three anatomical planes.

Improved wood species identification based on multi-view imagery of the three anatomical planes.

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Resource type
Journal article
Creator (person)
da Silva, Núbia Rosa
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Deklerck, Victor
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Baetens, Jan M.
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Van den Bulcke, Jan
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De Ridder, Maaike
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Rousseau, Mélissa
Martinez Bruno, Odemir
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Beeckman, Hans
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Van Acker, Joris
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De Baets, Bernard
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Verwaeren, Jan
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Date published
June 11, 2022
Project(s)
Priority 4: Accelerated Taxonomy
World Forest ID project
Priority 3: Digital Revolution
Funder
Funder nameAwards
Fundação de Amparo à Pesquisa do Estado de São Paulo, Brazil
Grant no. 2011/01523-1 - Grant no. 2011/21467-9 - Grant No. 2014/06208-5
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brazil
Grant no. 308449/2010-0 - Grant no. 484312/2013-8 - Grant no. 312718/2018-7
Department for Environment, Food and Rural Affairs, UK Government, United Kingdom
World Forest ID project (Defra funded project 29084)
Belgian Federal Science Policy Office, Belgium
Belspo Brain 2.0, Grant No. B2/202/P2/SmartwoodID
Centre for International Forestry Research, Indonesia
IX European Development Fund
Journal title
Plant Methods
Volume
18
Article number
79
Publisher
BioMed Central
Place of publication
London
ISSN
1746-4811
Date accepted
May 18, 2022
Official URL
https://handle.test.datacite.org/10.1186/s13007-022-00910-1
Related URL
https://plantmethods.biomedcentral.com/articles/10.1186/s13007-022-00910-1
Rights statement
In Copyright
Licence
https://creativecommons.org/licenses/by/4.0/
DOI
10.1186/s13007-022-00910-1
Keywords
Texture analysis
Wood anatomy
Wood anatomical sections
Wood species identification
Wood identification
Machine learning
Machine vision
Additional information
IF = 5.139 (2021-2022)
Managed by the British Library and supported by the AHRC

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