Lesnoff, M.; Andueza, D.; Barotin, C.; Barre, P.; Bonnal, L.; Fernández Pierna, J.A.; Picard, F.; Vermeulen, P.; Roger, J.-M.
Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data. Appl. Sci. 2022, 12, 7850.
https://doi.org/10.3390/app12157850
AMA Style
Lesnoff M, Andueza D, Barotin C, Barre P, Bonnal L, Fernández Pierna JA, Picard F, Vermeulen P, Roger J-M.
Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data. Applied Sciences. 2022; 12(15):7850.
https://doi.org/10.3390/app12157850
Chicago/Turabian Style
Lesnoff, Mathieu, Donato Andueza, Charlène Barotin, Philippe Barre, Laurent Bonnal, Juan Antonio Fernández Pierna, Fabienne Picard, Philippe Vermeulen, and Jean-Michel Roger.
2022. "Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data" Applied Sciences 12, no. 15: 7850.
https://doi.org/10.3390/app12157850
APA Style
Lesnoff, M., Andueza, D., Barotin, C., Barre, P., Bonnal, L., Fernández Pierna, J. A., Picard, F., Vermeulen, P., & Roger, J.-M.
(2022). Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data. Applied Sciences, 12(15), 7850.
https://doi.org/10.3390/app12157850
