Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data
- 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: (7850),
| Type | Journal Article |
| Year | 2022 |
| Title | Averaging and Stacking Partial Least Squares Regression Models to Predict the Chemical Compositions and the Nutritive Values of Forages from Spectral Near Infrared Data |
| Journal | Applied sciences |
| Label | U12-0066-Fernandez-2022 |
| Volume | 12 |
| Issue | 7850 |
| Fichier |
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| Lien | https://doi.org/10.3390/app12157850 |
| Authors | Lesnoff, M., Andueza, D., Barotin, C., Barre, P., Bonnal, L., Fernández Pierna, J.A., Picard, F., Vermeulen, P., Roger, J.M. |
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