Falcioni, Renan 
; Vedana, Nicole Ghinzelli ; Oliveira, Caio Almeida de ; Gonçalves, João Vitor Ferreira; Chicati, Marcelo Luiz ; Demattê, José Alexandre Melo ; Nanni, Marcos Rafael
Source: Plants. Unidade: ESALQ
Subjects: ALGORITMOS, ANÁLISE DISCRIMINANTE, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, FEIJÃO, GERMOPLASMA VEGETAL, SEMENTES, SENSORIAMENTO REMOTO
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FALCIONI, Renan et al. VIS–NIR–SWIR hyperspectral imaging and advanced machine and deep learning algorithms for a controlled benchmark of bean seed identification and classification. Plants, v. 15, p. 1-29, 2026Tradução . . Disponível em: https://doi.org/10.3390/plants15060933. Acesso em: 25 abr. 2026.APA
Falcioni, R., Vedana, N. G., Oliveira, C. A. de, Gonçalves, J. V. F., Chicati, M. L., Demattê, J. A. M., & Nanni, M. R. (2026). VIS–NIR–SWIR hyperspectral imaging and advanced machine and deep learning algorithms for a controlled benchmark of bean seed identification and classification. Plants, 15, 1-29. doi:10.3390/plants15060933NLM
Falcioni R, Vedana NG, Oliveira CA de, Gonçalves JVF, Chicati ML, Demattê JAM, Nanni MR. VIS–NIR–SWIR hyperspectral imaging and advanced machine and deep learning algorithms for a controlled benchmark of bean seed identification and classification [Internet]. Plants. 2026 ; 15 1-29.[citado 2026 abr. 25 ] Available from: https://doi.org/10.3390/plants15060933Vancouver
Falcioni R, Vedana NG, Oliveira CA de, Gonçalves JVF, Chicati ML, Demattê JAM, Nanni MR. VIS–NIR–SWIR hyperspectral imaging and advanced machine and deep learning algorithms for a controlled benchmark of bean seed identification and classification [Internet]. Plants. 2026 ; 15 1-29.[citado 2026 abr. 25 ] Available from: https://doi.org/10.3390/plants15060933
