Fonte: Engenharia Agrícola. Unidades: FZEA, RUSP, IQ, ESALQ
Assuntos: 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: 06 out. 2025.APA
Couto, J., Regazzo, J., Baesso, M., Tech, A., & 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 M, Tech A, 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 out. 06 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025Vancouver
Couto J, Regazzo J, Baesso M, Tech A, 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 out. 06 ] Available from: https://doi.org/10.1590/1809-4430-Eng.Agric.v45nespe120240223/2025