Osco, L.P.; Ramos, A.P.M.; Faita Pinheiro, M.M.; Moriya, É.A.S.; Imai, N.N.; Estrabis, N.; Ianczyk, F.; Araújo, F.F.d.; Liesenberg, V.; Jorge, L.A.d.C.;
et al. A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements. Remote Sens. 2020, 12, 906.
https://doi.org/10.3390/rs12060906
AMA Style
Osco LP, Ramos APM, Faita Pinheiro MM, Moriya ÉAS, Imai NN, Estrabis N, Ianczyk F, Araújo FFd, Liesenberg V, Jorge LAdC,
et al. A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements. Remote Sensing. 2020; 12(6):906.
https://doi.org/10.3390/rs12060906
Chicago/Turabian Style
Osco, Lucas Prado, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, Érika Akemi Saito Moriya, Nilton Nobuhiro Imai, Nayara Estrabis, Felipe Ianczyk, Fábio Fernando de Araújo, Veraldo Liesenberg, Lúcio André de Castro Jorge,
and et al. 2020. "A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements" Remote Sensing 12, no. 6: 906.
https://doi.org/10.3390/rs12060906
APA Style
Osco, L. P., Ramos, A. P. M., Faita Pinheiro, M. M., Moriya, É. A. S., Imai, N. N., Estrabis, N., Ianczyk, F., Araújo, F. F. d., Liesenberg, V., Jorge, L. A. d. C., Li, J., Ma, L., Gonçalves, W. N., Marcato Junior, J., & Eduardo Creste, J.
(2020). A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements. Remote Sensing, 12(6), 906.
https://doi.org/10.3390/rs12060906