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 LOCAL regression algorithm improves near infrared spectroscopy predictions when the target constituent evolves in breeding populations
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.