Using machine learning methods to predict dry matter intake from milk mid-infrared spectroscopy data on Swedish dairy cattle
In this research communication we compare three different approaches for developing dry matter intake (DMI) prediction models based on milk mid-infrared spectra (MIRS), using data collected from a research herd over five years. In dairy production, knowledge of individual DMI could be important and...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
Cambridge University Press (CUP)
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/108431/ https://www.cambridge.org/core/journals/journal-of-dairy-research/article/using-machine-learning-methods-to-predict-dry-matter-intake-from-milk-midinfrared-spectroscopy-data-on-swedish-dairy-cattle/A06673BFE835058C2CA1FDFC975AA58F |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!