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Artigo de periodico
Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images (2015)
Silva, Felipe Leno da ; Grassi-Sella, Marina Lopes; Francoy, Tiago Mauricio ; Reali Costa, Anna Helena
Fonte: Computers and Electronics in Agriculture. Unidades: EACH, EP, FMRP
Assuntos: ABELHAS (CLASSIFICAÇÃO;IDENTIFICAÇÃO), MORFOMETRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Felipe Leno da et al. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, v. 114, n. ju 2015, p. 68-77, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.03.012. Acesso em: 15 nov. 2025.
APA
Silva, F. L. da, Grassi-Sella, M. L., Francoy, T. M., & Reali Costa, A. H. (2015). Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, 114( ju 2015), 68-77. doi:10.1016/j.compag.2015.03.012
NLM
Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.03.012
Vancouver
Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.03.012
Artigo de periodico
A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics (2015)
Görgens, Eric Bastos; Montaghi, Alessandro; Rodriguez, Luiz Carlos Estraviz
Fonte: Computers and Electronics in Agriculture. Unidade: ESALQ
Assuntos: DENDROMETRIA, EUCALIPTO (CRESCIMENTO E DESENVOLVIMENTO), SENSORIAMENTO REMOTO, MÉTRICAS DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GÖRGENS, Eric Bastos e MONTAGHI, Alessandro e RODRIGUEZ, Luiz Carlos Estraviz. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics. Computers and Electronics in Agriculture, v. 116, p. 221–227, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.07.004. Acesso em: 15 nov. 2025.
APA
Görgens, E. B., Montaghi, A., & Rodriguez, L. C. E. (2015). A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics. Computers and Electronics in Agriculture, 116, 221–227. doi:10.1016/j.compag.2015.07.004
NLM
Görgens EB, Montaghi A, Rodriguez LCE. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics [Internet]. Computers and Electronics in Agriculture. 2015 ; 116 221–227.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.07.004
Vancouver
Görgens EB, Montaghi A, Rodriguez LCE. A performance comparison of machine learning methods to estimate the fast-growing forest plantation yield based on laser scanning metrics [Internet]. Computers and Electronics in Agriculture. 2015 ; 116 221–227.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.07.004
Artigo de periodico
A robust segmentation method for counting bovine milk somatic cells in microscope slide images (2015)
Melo, Gabriel Jesus Alves de; Gomes, Viviani ; Baccili, Camila Costa; Almeida, L. A. L. de; Lima, A. C. de C
Fonte: Computers and Electronics in Agriculture. Unidade: FMVZ
Assuntos: CONTAGEM DE CÉLULAS SOMÁTICAS, MASTITE ANIMAL, BOVINOS LEITEIROS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELO, Gabriel Jesus Alves de et al. A robust segmentation method for counting bovine milk somatic cells in microscope slide images. Computers and Electronics in Agriculture, v. 115, p. 142-149, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.05.018. Acesso em: 15 nov. 2025.
APA
Melo, G. J. A. de, Gomes, V., Baccili, C. C., Almeida, L. A. L. de, & Lima, A. C. de C. (2015). A robust segmentation method for counting bovine milk somatic cells in microscope slide images. Computers and Electronics in Agriculture, 115, 142-149. doi:10.1016/j.compag.2015.05.018
NLM
Melo GJA de, Gomes V, Baccili CC, Almeida LAL de, Lima AC de C. A robust segmentation method for counting bovine milk somatic cells in microscope slide images [Internet]. Computers and Electronics in Agriculture. 2015 ; 115 142-149.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.05.018
Vancouver
Melo GJA de, Gomes V, Baccili CC, Almeida LAL de, Lima AC de C. A robust segmentation method for counting bovine milk somatic cells in microscope slide images [Internet]. Computers and Electronics in Agriculture. 2015 ; 115 142-149.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1016/j.compag.2015.05.018

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