Skip to main content

Design of a model-based control system for a hybrid ventilation of UK livestock buildings.


Pen fouling, diarrhoea and tail biting affect the welfare of commercially farmed indoor pigs. At teh same time, they reduce the profitability and sustainability of commercial production systems. The im of this reseach is to use machine learning to predict these events.


The use of machine learning to predict pen fouling, diarrhoea and tail biting in commercially farmed indoor pigs.

Funding Body

Douglas Bomford Trust, Chadacre Agricuktural Trust and The John Oldacre Foundation

Lead Organisation

Harper Adams University


Aarhus University, Denmark

Cookies on the Harper Adams University website

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we'll assume that you are happy to receive all cookies on the website. However, you can change your cookie settings at any time.