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Mining data from milk-infrared spectroscopy and animal characteristics to improve the prediction of dairy cows live body weight using feature selection algorithms based on partial least squares and Elastic net regressions.

  • Zhang, L. , Tedde, A. , Phuong, H. , Grelet, C. , Dehareng, F. , Froidmont, E. , Gengler, N. , Brostaux, Y. , Hailemariam, D. , Pryce, J.E. , GplusE Consortium & Soyeurt, H. (2021). Mining data from milk-infrared spectroscopy and animal characteristics to improve the prediction of dairy cows live body weight using feature selection algorithms based on partial least squares and Elastic net regressions. Computers and electronics in Agriculture, 184: (may 2021), 106106.
Détails et références de la publication
Type Journal Article
Année 2021
Titre Mining data from milk-infrared spectroscopy and animal characteristics to improve the prediction of dairy cows live body weight using feature selection algorithms based on partial least squares and Elastic net regressions.
Journal Computers and electronics in Agriculture
Volume 184
Issue may 2021
Pages 106106
Auteurs Zhang, L. , Tedde, A. , Phuong, H. , Grelet, C. , Dehareng, F. , Froidmont, E. , Gengler, N. , Brostaux, Y. , Hailemariam, D. , Pryce, J.E. , GplusE Consortium & Soyeurt, H.
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