Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea (2020)
Source: Agriculture. Unidades: ESALQ, CENA
Subjects: CAUPI, ESPECTROSCOPIA, FUNGOS, MODELOS MATEMÁTICOS, SEMENTES
ABNT
REGO, Carlos Henrique Queiroz et al. Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea. Agriculture, v. 10, n. 8, p. 1-12, 2020Tradução . . Disponível em: https://doi.org/10.3390/agriculture10080361. Acesso em: 17 out. 2024.APA
Rego, C. H. Q., Silva, F. F., Gomes Junior, F. G., Moraes, M. H. D. de, Medeiros, A. D. de, & Silva, C. B. da. (2020). Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea. Agriculture, 10( 8), 1-12. doi:10.3390/agriculture10080361NLM
Rego CHQ, Silva FF, Gomes Junior FG, Moraes MHD de, Medeiros AD de, Silva CB da. Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea [Internet]. Agriculture. 2020 ; 10( 8): 1-12.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/agriculture10080361Vancouver
Rego CHQ, Silva FF, Gomes Junior FG, Moraes MHD de, Medeiros AD de, Silva CB da. Using Multispectral Imaging for Detecting Seed-Borne Fungi in Cowpea [Internet]. Agriculture. 2020 ; 10( 8): 1-12.[citado 2024 out. 17 ] Available from: https://doi.org/10.3390/agriculture10080361