Ribeiro, Matheus Cicero; Marangoni, Bruno S. 
; Cabral, Jader de Souza ; Nicolodelli, Gustavo ; Senesi, Giorgio S ; Caires, Anderson R. L. ; Gonçalves, Daniel A ; Menegatti, Carlos Renato ; Milori, Debora Marcondes Bastos Pereira ; Cena, Cícero
Fonte: Microchemical journal.
Assuntos: APRENDIZADO COMPUTACIONAL, QUIMIOMETRIA
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RIBEIRO, Matheus Cicero et al. Discrimination of maize transgenic and non-transgenic varieties by laser induced spectroscopy (LIBS) and machine learning algorithms. Microchemical journal, v. 203, n. art. 110898, p. 1-11, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.microc.2024.110898. Acesso em: 28 nov. 2025.APA
Ribeiro, M. C., Marangoni, B. S., Cabral, J. de S., Nicolodelli, G., Senesi, G. S., Caires, A. R. L., et al. (2024). Discrimination of maize transgenic and non-transgenic varieties by laser induced spectroscopy (LIBS) and machine learning algorithms. Microchemical journal, 203( art. 110898), 1-11. doi:10.1016/j.microc.2024.110898NLM
Ribeiro MC, Marangoni BS, Cabral J de S, Nicolodelli G, Senesi GS, Caires ARL, Gonçalves DA, Menegatti CR, Milori DMBP, Cena C. Discrimination of maize transgenic and non-transgenic varieties by laser induced spectroscopy (LIBS) and machine learning algorithms [Internet]. Microchemical journal. 2024 ; 203( art. 110898): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.microc.2024.110898Vancouver
Ribeiro MC, Marangoni BS, Cabral J de S, Nicolodelli G, Senesi GS, Caires ARL, Gonçalves DA, Menegatti CR, Milori DMBP, Cena C. Discrimination of maize transgenic and non-transgenic varieties by laser induced spectroscopy (LIBS) and machine learning algorithms [Internet]. Microchemical journal. 2024 ; 203( art. 110898): 1-11.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.microc.2024.110898
