The application of machine learning to predict disease, production and reproduction outcomes from the transition period of dairy cattle
Data collected under a transition period monitoring service, from 133 herds over the course of 2 years, were utilised in order to build predictive models for disease, production and reproductive outcomes. Both cow level and pen level variables were used as potential predictor variables, while a v...
| Main Author: | |
|---|---|
| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/81298/ |