Case study #1- Big brother: using artificial intelligence to improve pig health and welfare:

Subclinical and clinical disease in pigs is the main factor responsible for
reductions in both welfare and productivity. Changes in pig behaviour are a
useful indicator for early signs of compromised health and welfare, with early
detection of issues required for timely intervention, mitigation of losses and
improvement of well-being.
• Professor Ilias Kyriazakis and Dr Ali Alameer at Queen’s University Belfast
and Dr Jaume Bacardit at Newcastle University have exploited the potential
of computer vision, machine learning and convolutional neural networks
– a type of artificial neural network used in image recognition – to automatically
monitor pig performance and behaviour using low cost cameras and relate any
changes to pig health and welfare.
• The work continues as part of the EU H2020 project Healthy Livestock, with the
ultimate goal to provide an early warning system to farmers and veterinarians
that links behavioural changes to their underlying cause(s).

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