Corn grain yield forecasting by satellite remote sensing and machine-learning models (2022)
Source: Agronomy Journal. Unidade: ESALQ
Subjects: MILHO, AGRICULTURA DE PRECISÃO, SENSORIAMENTO REMOTO, SISTEMA DE INFORMAÇÃO GEOGRÁFICA
ABNT
PINTO, Antonio Alves et al. Corn grain yield forecasting by satellite remote sensing and machine-learning models. Agronomy Journal, v. 114, p. 2956–2968, 2022Tradução . . Disponível em: https://doi.org/10.1002/agj2.21141. Acesso em: 10 maio 2024.APA
Pinto, A. A., Zerbato, C., Rolim, G. de S., Barbosa Júnior, M. R., Silva, L. F. V. da, & Oliveira, R. P. de. (2022). Corn grain yield forecasting by satellite remote sensing and machine-learning models. Agronomy Journal, 114, 2956–2968. doi:10.1002/agj2.21141NLM
Pinto AA, Zerbato C, Rolim G de S, Barbosa Júnior MR, Silva LFV da, Oliveira RP de. Corn grain yield forecasting by satellite remote sensing and machine-learning models [Internet]. Agronomy Journal. 2022 ; 114 2956–2968.[citado 2024 maio 10 ] Available from: https://doi.org/10.1002/agj2.21141Vancouver
Pinto AA, Zerbato C, Rolim G de S, Barbosa Júnior MR, Silva LFV da, Oliveira RP de. Corn grain yield forecasting by satellite remote sensing and machine-learning models [Internet]. Agronomy Journal. 2022 ; 114 2956–2968.[citado 2024 maio 10 ] Available from: https://doi.org/10.1002/agj2.21141