LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations
- Davrieux, F. , Dufour, D. , Dardenne, P. , Belalcazar, J. , Pizarro, M. , Luna, J. , Londono, L. , Jaramillo, A. , Sanchez, T. , Morante, N. , Calle, F. , Becerra lopez-Lavalle, L.A. & Ceballos, H. (2016). LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations. Journal of Near Infrared Spectroscopy, 24: 109-117.
| Type | Journal Article |
| Year | 2016 |
| Title | LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations |
| Journal | Journal of Near Infrared Spectroscopy |
| Label | U15-1822-Dardenne-2016.pdf |
| Volume | 24 |
| Pages | 109-117 |
| Fichier | |
| Lien | http://dx.doi.org/10.1255/jnirs.1213 |
| Authors | Davrieux, F., Dufour, D., Dardenne, P., Belalcazar, J., Pizarro, M., Luna, J., Londono, L., Jaramillo, A., Sanchez, T., Morante, N., Calle, F., Becerra lopez-Lavalle, L.A., Ceballos, H. |
