Source: Agricultural Systems. Unidade: ESALQ
Subjects: AGROCLIMATOLOGIA, CANA-DE-AÇÚCAR, MODELOS MATEMÁTICOS, REGRESSÃO LINEAR
ABNT
PAGANI, Valentina et al. Forecasting sugarcane yields using agro-climatic indicators and Canegro model: a case study in the main production region in Brazil. Agricultural Systems, v. 154, p. 45-52, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.agsy.2017.03.002. Acesso em: 16 abr. 2024.APA
Pagani, V., Stella, T., Guarneri, T., Finotto, G., Van den Berg, M., Marin, F. R., et al. (2017). Forecasting sugarcane yields using agro-climatic indicators and Canegro model: a case study in the main production region in Brazil. Agricultural Systems, 154, 45-52. doi:10.1016/j.agsy.2017.03.002NLM
Pagani V, Stella T, Guarneri T, Finotto G, Van den Berg M, Marin FR, Acutis M, Confalonieri R. Forecasting sugarcane yields using agro-climatic indicators and Canegro model: a case study in the main production region in Brazil [Internet]. Agricultural Systems. 2017 ; 154 45-52.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1016/j.agsy.2017.03.002Vancouver
Pagani V, Stella T, Guarneri T, Finotto G, Van den Berg M, Marin FR, Acutis M, Confalonieri R. Forecasting sugarcane yields using agro-climatic indicators and Canegro model: a case study in the main production region in Brazil [Internet]. Agricultural Systems. 2017 ; 154 45-52.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1016/j.agsy.2017.03.002