Source: Agronomy. Unidades: FZEA, ESALQ
Subjects: ALGORITMOS, AGRICULTURA DE PRECISÃO, APRENDIZADO COMPUTACIONAL, ESPECTROSCOPIA INFRAVERMELHA, FEIJÃO
ABNT
TAVARES, Marcos Silva et al. Performance of machine learning models in predicting common bean (Phaseolus vulgaris L.) crop nitrogen using NIR spectroscopy. Agronomy, v. 14, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.3390/agronomy14081634. Acesso em: 30 ago. 2024.APA
Tavares, M. S., Silva, C. A. A. C., Regazzo, J. R., Sardinha, E. J. de S., Silva, T. L. da, Fiorio, P. R., & Baesso, M. M. (2024). Performance of machine learning models in predicting common bean (Phaseolus vulgaris L.) crop nitrogen using NIR spectroscopy. Agronomy, 14, 1-14. doi:10.3390/agronomy14081634NLM
Tavares MS, Silva CAAC, Regazzo JR, Sardinha EJ de S, Silva TL da, Fiorio PR, Baesso MM. Performance of machine learning models in predicting common bean (Phaseolus vulgaris L.) crop nitrogen using NIR spectroscopy [Internet]. Agronomy. 2024 ; 14 1-14.[citado 2024 ago. 30 ] Available from: https://doi.org/10.3390/agronomy14081634Vancouver
Tavares MS, Silva CAAC, Regazzo JR, Sardinha EJ de S, Silva TL da, Fiorio PR, Baesso MM. Performance of machine learning models in predicting common bean (Phaseolus vulgaris L.) crop nitrogen using NIR spectroscopy [Internet]. Agronomy. 2024 ; 14 1-14.[citado 2024 ago. 30 ] Available from: https://doi.org/10.3390/agronomy14081634