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...
| Main Authors: | Mohamad Salleh, Suraya, Danielsson, Rebecca, Kronqvist, Cecilia |
|---|---|
| Format: | Article |
| Published: |
Cambridge University Press (CUP)
2023
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/108431/ |
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