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Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species

dc.contributor.authorda Silva, N.R.
dc.contributor.authorde Ridder, M.
dc.contributor.authorBaetens, J.M.
dc.contributor.authorVan den Bulcke, J.
dc.contributor.authorRousseau, M.
dc.contributor.authorBruno, O.M.
dc.contributor.authorBeeckman, H.
dc.contributor.authorVan Acker, J.
dc.contributor.authorDe Baets, B.
dc.coverage.spatialCongo, The Democratic Republic of the
dc.date2017
dc.date.accessioned2024-03-14T13:14:41Z
dc.date.available2024-03-14T13:14:41Z
dc.identifier.issn1286-4560
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/11930
dc.languageeng
dc.publisherSpringer
dc.titleAutomated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species
dc.typeArticle
dc.subject.frascatiAgriculture, Forestry and Fisheries
dc.subject.frascatiBiological sciences
dc.audienceScientific
dc.subject.freeWood biology
dc.source.titleAnnals of Forest Science
dc.source.volume74(2)
dc.source.pageArt.Nr.74
Orfeo.peerreviewedYes
dc.identifier.doi10.1007/s13595-017-0619-0
dc.identifier.rmca4989


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