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.
| Type | Journal Article |
| Year | 2021 |
| Title | 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 |
| Fichier | |
| Lien | https://doi.org/10.1016/j.compag.2021.106106 |
| Authors | 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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