Tavares JĂşnior, I.d.S.; Rocha, J.E.C.d.; Ebling, Ă‚.A.; Chaves, A.d.S.; Zanuncio, J.C.; Farias, A.A.; Leite, H.G.
Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones. Forests 2019, 10, 268.
https://doi.org/10.3390/f10030268
AMA Style
Tavares Júnior IdS, Rocha JECd, Ebling ÂA, Chaves AdS, Zanuncio JC, Farias AA, Leite HG.
Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones. Forests. 2019; 10(3):268.
https://doi.org/10.3390/f10030268
Chicago/Turabian Style
Tavares Júnior, Ivaldo da Silva, Jonas Elias Castro da Rocha, Ângelo Augusto Ebling, Antônio de Souza Chaves, José Cola Zanuncio, Aline Araújo Farias, and Helio Garcia Leite.
2019. "Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones" Forests 10, no. 3: 268.
https://doi.org/10.3390/f10030268
APA Style
Tavares JĂşnior, I. d. S., Rocha, J. E. C. d., Ebling, Ă‚. A., Chaves, A. d. S., Zanuncio, J. C., Farias, A. A., & Leite, H. G.
(2019). Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones. Forests, 10(3), 268.
https://doi.org/10.3390/f10030268