Source: Agriculture. Unidade: CENA
Subjects: SEMENTES, FUSARIUM, IMAGEM DIGITAL, DOENÇAS DE PLANTAS
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BERNARDES, Rodrigo Cupertino et al. Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology. Agriculture, v. 12, 2022Tradução . . Disponível em: https://doi.org/10.3390/agriculture12111801. Acesso em: 10 set. 2024.APA
Bernardes, R. C., De Medeiros, A., Silva, L., Cantoni, L., Martins, G. F., Mastrangelo, T. de A., et al. (2022). Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology. Agriculture, 12. doi:10.3390/agriculture12111801NLM
Bernardes RC, De Medeiros A, Silva L, Cantoni L, Martins GF, Mastrangelo T de A, Novikov A, Mastrangelo CB. Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology [Internet]. Agriculture. 2022 ; 12[citado 2024 set. 10 ] Available from: https://doi.org/10.3390/agriculture12111801Vancouver
Bernardes RC, De Medeiros A, Silva L, Cantoni L, Martins GF, Mastrangelo T de A, Novikov A, Mastrangelo CB. Deep-Learning Approach for Fusarium Head Blight Detection in Wheat Seeds Using Low-Cost Imaging Technology [Internet]. Agriculture. 2022 ; 12[citado 2024 set. 10 ] Available from: https://doi.org/10.3390/agriculture12111801