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Artigo de periodico
Identifying plant species using architectural features in leaf microscopy images (2016)
Florindo, João Batista; Bruno, Odemir Martinez ; Rossatto, Davi Rodrigo; Kolb, Rosana Marta; Gómez, Maria Cecilia; Landini, Gabriel
Source: Botany. Unidade: IFSC
Subjects: FOLHAS (PLANTAS), MORFOLOGIA VEGETAL, BOTÂNICA (CLASSIFICAÇÃO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FLORINDO, João Batista et al. Identifying plant species using architectural features in leaf microscopy images. Botany, v. 94, n. Ja 2016, p. 15-21, 2016Tradução . . Disponível em: https://doi.org/10.1139/cjb-2015-0075. Acesso em: 10 nov. 2024.
APA
Florindo, J. B., Bruno, O. M., Rossatto, D. R., Kolb, R. M., Gómez, M. C., & Landini, G. (2016). Identifying plant species using architectural features in leaf microscopy images. Botany, 94( Ja 2016), 15-21. doi:10.1139/cjb-2015-0075
NLM
Florindo JB, Bruno OM, Rossatto DR, Kolb RM, Gómez MC, Landini G. Identifying plant species using architectural features in leaf microscopy images [Internet]. Botany. 2016 ; 94( Ja 2016): 15-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1139/cjb-2015-0075
Vancouver
Florindo JB, Bruno OM, Rossatto DR, Kolb RM, Gómez MC, Landini G. Identifying plant species using architectural features in leaf microscopy images [Internet]. Botany. 2016 ; 94( Ja 2016): 15-21.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1139/cjb-2015-0075
Artigo de periodico
Leaf epidermis images for robust identification of plants (2016)
Silva, Núbia Rosa da; Oliveira, Marcos William da Silva; Almeida Filho, Humberto Antunes de; Pinheiro, Luiz Felipe Souza; Rossatto, Davi Rodrigo; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Scientific Reports. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Leaf epidermis images for robust identification of plants. Scientific Reports, v. 6, p. 25994-1-25994-10, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep25994. Acesso em: 10 nov. 2024.
APA
Silva, N. R. da, Oliveira, M. W. da S., Almeida Filho, H. A. de, Pinheiro, L. F. S., Rossatto, D. R., Kolb, R. M., & Bruno, O. M. (2016). Leaf epidermis images for robust identification of plants. Scientific Reports, 6, 25994-1-25994-10. doi:10.1038/srep25994
NLM
Silva NR da, Oliveira MW da S, Almeida Filho HA de, Pinheiro LFS, Rossatto DR, Kolb RM, Bruno OM. Leaf epidermis images for robust identification of plants [Internet]. Scientific Reports. 2016 ; 6 25994-1-25994-10.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1038/srep25994
Vancouver
Silva NR da, Oliveira MW da S, Almeida Filho HA de, Pinheiro LFS, Rossatto DR, Kolb RM, Bruno OM. Leaf epidermis images for robust identification of plants [Internet]. Scientific Reports. 2016 ; 6 25994-1-25994-10.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1038/srep25994
Artigo de periodico
Plant identification based on leaf midrib cross-section images using fractal descriptors (2015)
Silva, Núbia Rosa da; Florindo, João Batista; Gómez, María Cecilia; Rossatto, Davi Rodrigo; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: PLOS One. Unidade: IFSC
Subjects: PLANTAS (IDENTIFICAÇÃO), FRACTAIS (DIMENSÃO), TEXTURA (ANÁLISE), MODELOS (ANÁLISE), RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Núbia Rosa da et al. Plant identification based on leaf midrib cross-section images using fractal descriptors. PLOS One, v. 10, n. 6, p. e0130014-1-e0130014-14, 2015Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0130014. Acesso em: 10 nov. 2024.
APA
Silva, N. R. da, Florindo, J. B., Gómez, M. C., Rossatto, D. R., Kolb, R. M., & Bruno, O. M. (2015). Plant identification based on leaf midrib cross-section images using fractal descriptors. PLOS One, 10( 6), e0130014-1-e0130014-14. doi:10.1371/journal.pone.0130014
NLM
Silva NR da, Florindo JB, Gómez MC, Rossatto DR, Kolb RM, Bruno OM. Plant identification based on leaf midrib cross-section images using fractal descriptors [Internet]. PLOS One. 2015 ; 10( 6): e0130014-1-e0130014-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1371/journal.pone.0130014
Vancouver
Silva NR da, Florindo JB, Gómez MC, Rossatto DR, Kolb RM, Bruno OM. Plant identification based on leaf midrib cross-section images using fractal descriptors [Internet]. PLOS One. 2015 ; 10( 6): e0130014-1-e0130014-14.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1371/journal.pone.0130014
Artigo de periodico
A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera (2013)
Sá Junior, Jarbas Joaci de Mesquita; Rossatto, Davi Rodrigo; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Ecological Informatics. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS, FOLHAS (PLANTAS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita et al. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera. Ecological Informatics, v. 15, p. 34-43, 2013Tradução . . Disponível em: https://doi.org/10.1016/j.ecoinf.2013.02.007. Acesso em: 10 nov. 2024.
APA
Sá Junior, J. J. de M., Rossatto, D. R., Kolb, R. M., & Bruno, O. M. (2013). A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera. Ecological Informatics, 15, 34-43. doi:10.1016/j.ecoinf.2013.02.007
NLM
Sá Junior JJ de M, Rossatto DR, Kolb RM, Bruno OM. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera [Internet]. Ecological Informatics. 2013 ; 15 34-43.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.02.007
Vancouver
Sá Junior JJ de M, Rossatto DR, Kolb RM, Bruno OM. A computer vision approach to quantify leaf anatomical plasticity: a case study on Gochnatia polymorpha (Less.) Cabrera [Internet]. Ecological Informatics. 2013 ; 15 34-43.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1016/j.ecoinf.2013.02.007
Artigo de periodico
Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe) (2011)
Rossatto, Davi Rodrigo; Casanova, Dalcimar; Kolb, Rosana Marta; Bruno, Odemir Martinez
Source: Plant Systematics and Evolution. Unidade: IFSC
Subjects: FRACTAIS, MODELOS (ANÁLISE MULTIVARIADA), FOLHAS (PLANTAS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSATTO, Davi Rodrigo et al. Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe). Plant Systematics and Evolution, v. 291, n. Ja 2011, p. 103-116, 2011Tradução . . Disponível em: https://doi.org/10.1007/s00606-010-0366-2. Acesso em: 10 nov. 2024.
APA
Rossatto, D. R., Casanova, D., Kolb, R. M., & Bruno, O. M. (2011). Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe). Plant Systematics and Evolution, 291( Ja 2011), 103-116. doi:10.1007/s00606-010-0366-2
NLM
Rossatto DR, Casanova D, Kolb RM, Bruno OM. Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe) [Internet]. Plant Systematics and Evolution. 2011 ; 291( Ja 2011): 103-116.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00606-010-0366-2
Vancouver
Rossatto DR, Casanova D, Kolb RM, Bruno OM. Fractal analysis of leaf-texture properties as a tool for taxonomic and identification purposes: a case study with species from Neotropical Melastomataceae (Miconieae tribe) [Internet]. Plant Systematics and Evolution. 2011 ; 291( Ja 2011): 103-116.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1007/s00606-010-0366-2
Artigo de periodico
Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification (2011)
Sá Junior, Jarbas Joaci de M.; Backes, André Ricardo; Rossatto, Davi Rodrigo; Kolb, Rosana M.; Bruno, Odemir Martinez
Source: Botany. Unidade: IFSC
Subjects: PLANTAS (IDENTIFICAÇÃO), TEXTURA, FOLHAS (PLANTAS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de M. et al. Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification. Botany, v. 89, n. 7, p. 467-479, 2011Tradução . . Disponível em: https://doi.org/10.1139/B11-038. Acesso em: 10 nov. 2024.
APA
Sá Junior, J. J. de M., Backes, A. R., Rossatto, D. R., Kolb, R. M., & Bruno, O. M. (2011). Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification. Botany, 89( 7), 467-479. doi:10.1139/B11-038
NLM
Sá Junior JJ de M, Backes AR, Rossatto DR, Kolb RM, Bruno OM. Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification [Internet]. Botany. 2011 ; 89( 7): 467-479.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1139/B11-038
Vancouver
Sá Junior JJ de M, Backes AR, Rossatto DR, Kolb RM, Bruno OM. Measuring and analyzing color and texture information in anatomical leaf cross sections: an approach using computer vision to aid plant species identification [Internet]. Botany. 2011 ; 89( 7): 467-479.[citado 2024 nov. 10 ] Available from: https://doi.org/10.1139/B11-038

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