Fonte: Annals of Forest Science. Unidade: IFSC
Assuntos: IMAGEM, RECONHECIMENTO DE PADRÕES, MADEIRA
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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: 22 jun. 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/s13595-017-0619-0NLM
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 jun. 22 ] Available from: https://doi.org/10.1007/s13595-017-0619-0Vancouver
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 jun. 22 ] Available from: https://doi.org/10.1007/s13595-017-0619-0
