The application of machine learning to predict disease, production and reproduction outcomes from the transition period of dairy cattle

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...

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Bibliographic Details
Main Author: Tsantila, Efterpi
Format: Thesis (University of Nottingham only)
Language:English
Published: 2025
Subjects:
Dairy cows; Predictive models; Health outcomes; Reproductive outcomes; Production outcomes; Transition management; Prediction performance metrics
Online Access:https://eprints.nottingham.ac.uk/81298/

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