Source: Engenharia Agrícola. Unidades: FZEA, IQ, ESALQ
Subjects: AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, ESTADO NUTRICIONAL, FEIJÃO, FERTILIZANTES NITROGENADOS, NITROGÊNIO, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
ABNT
COUTO, Julia et al. Classification of the nutritional condition of bean plants (Phaseolus Vulgaris) using convolutional neural networks and image analysis. Engenharia Agrícola, v. 45, n. 1 Nesp, p. 1-6, 2025Tradução . . Disponível em: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025. Acesso em: 28 nov. 2025.APA
Couto, J., Regazzo, J., Baesso, M. M., Tech, A. R. B., & Silva, T. (2025). Classification of the nutritional condition of bean plants (Phaseolus Vulgaris) using convolutional neural networks and image analysis. Engenharia Agrícola, 45( 1 Nesp), 1-6. doi:10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025NLM
Couto J, Regazzo J, Baesso MM, Tech ARB, Silva T. Classification of the nutritional condition of bean plants (Phaseolus Vulgaris) using convolutional neural networks and image analysis [Internet]. Engenharia Agrícola. 2025 ; 45( 1 Nesp): 1-6.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025Vancouver
Couto J, Regazzo J, Baesso MM, Tech ARB, Silva T. Classification of the nutritional condition of bean plants (Phaseolus Vulgaris) using convolutional neural networks and image analysis [Internet]. Engenharia Agrícola. 2025 ; 45( 1 Nesp): 1-6.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025
