PhD student
Yusuf Adewale PhD student
P1-017
Active
Predictive modelling of egg production quality and quantity using supervised machine learning algorithms

Development of predictive diagnostic algorithms using machine learning models have the potential to improve the management of egg production. The project aims to develop supervised machine learning algorithms that are useful to assess the predictive ability of forecast parameters (and the impact of various events that these parameters describe) and to predict the performance of egg production in free-range hens in Australia.