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Research

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

Abstract

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.

Description

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

Partners

Aarhus University, Denmark

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