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Filtros : "IFSC225" "Beeckman, Hans" Removidos: "Sociologia" "Suécia" "SVOI" Limpar

Filtros

Indexado em
- indexado na web of science (~2)
Collaboration
Normalized affiliation
Non normalized affiliation
- ghent university - ghent - belgium (1)
- ghent university, faculty of bioscience engineering, department of forest and water management, gent, belgium (1)
- ghent university, faculty of bioscience engineering, department of mathematical modelling, statistics and bioinformatics, research unit "knowledge-based systems", kermit, gent, belgium (1)
- royal botanic gardens kew - richmond - uk (1)
- royal museum for central africa - rmca - tervuren - belgium (1)

Artigo de periodico
Improved wood species identification based on multi-view imagery of the three anatomical planes (2022)
Silva, Núbia Rosa da ; Deklerck, Victor; Baetens, Jan M.; Bulcke, Jan Van den; Ridder, Maaike De; Rousseau, Mélissa; Bruno, Odemir Martinez ; Beeckman, Hans; Acker, Joris Van; Baets, Bernard De; Verwaeren, Jan
Source: Plant Methods. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, IMAGEM, MADEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, v. 18, n. 1, p. 79-1-79-17, 2022Tradução . . Disponível em: https://doi.org/10.1186/s13007-022-00910-1. Acesso em: 15 nov. 2024.
APA
Silva, N. R. da, Deklerck, V., Baetens, J. M., Bulcke, J. V. den, Ridder, M. D., Rousseau, M., et al. (2022). Improved wood species identification based on multi-view imagery of the three anatomical planes. Plant Methods, 18( 1), 79-1-79-17. doi:10.1186/s13007-022-00910-1
NLM
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Vancouver
Silva NR da, Deklerck V, Baetens JM, Bulcke JV den, Ridder MD, Rousseau M, Bruno OM, Beeckman H, Acker JV, Baets BD, Verwaeren J. Improved wood species identification based on multi-view imagery of the three anatomical planes [Internet]. Plant Methods. 2022 ; 18( 1): 79-1-79-17.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1186/s13007-022-00910-1
Artigo de periodico
Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species (2017)
Silva, Núbia Rosa da; De Ridder, Maaike; Baetens, Jan M.; Van den Bulcke, Jan; Rousseau, Mélissa; Bruno, Odemir Martinez ; Beeckman, Hans; Van Acker, Joris; De Baets, Bernard
Source: Annals of Forest Science. Unidade: IFSC
Subjects: IMAGEM, RECONHECIMENTO DE PADRÕES, MADEIRA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, v. 74, n. 2, p. 30-1-30-14, 2017Tradução . . Disponível em: https://doi.org/10.1007/s13595-017-0619-0. Acesso em: 15 nov. 2024.
APA
Silva, N. R. da, De Ridder, M., Baetens, J. M., Van den Bulcke, J., Rousseau, M., Bruno, O. M., et al. (2017). Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species. Annals of Forest Science, 74( 2), 30-1-30-14. doi:10.1007/s13595-017-0619-0
NLM
Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s13595-017-0619-0
Vancouver
Silva NR da, De Ridder M, Baetens JM, Van den Bulcke J, Rousseau M, Bruno OM, Beeckman H, Van Acker J, De Baets B. Automated classification of wood transverse cross-section micro-imagery from 77 commercial central-african timber species [Internet]. Annals of Forest Science. 2017 ; 74( 2): 30-1-30-14.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s13595-017-0619-0

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