Kevin Wade, PhD

Research in Applied Artificial Intelligence: Various applications (artificial neural networks; case-based reasoning; decision-tree analyses; etc.) have been used in the development of prediction tools for milk production and incidence of disease in dairy cattle.

Big Data Analyses: Through the use of data mining and the investigation of machine-learning technologies, large amounts of milk-recording data are being examined with a view to discovering potential relationships among easily-recorded data and traits of economic interest.

On-farm Management Systems: The development of dairy-cattle lifetime models, helped by advances in data visualization, is allowing producers and advisors to better understand the profitability aspects of their enterprises through the identification of outliers and the impact of poor management decisions.