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Research to study artificial intelligence use in cow diagnosis
The AI is able to track the motion of cows, as well as recognising each cow.

It will investigate if AI could detect disease earlier.

Researchers from the University of Bristol have received funding to study how artificial intelligence (AI) might be used to detect disease in dairy cows earlier.

The project is one of 14 to receive a share of £9m funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and the Department of Environment, Food and Rural Affairs (Defra), in a move to combat endemic livestock disease.

The project, led by Professor Andrew Dowsey from Bristol Veterinary School, will see a collaboration of University of Bristol researchers in veterinary medicine, animal behaviour, computer vision and AI.

The group will use AI to monitor the social interactions of cattle to identify indications of developing mastitis or lameness, which are two of the most significant diseases affecting the UK dairy industry.

These diseases compromise the health and welfare of dairy cows, which can lead to financial losses for farmers and the industry. Cows that suffer from disease have also been found to contribute a higher proportion of methane emissions, affecting sustainability in the sector.

The current technology used for disease detection in dairy cows tends to focus on observable symptoms that are associated with later stages of the disease.

Professor Dowsey and the research team will be investigating whether AI can monitor social interactions to identify diseases at an earlier stage.

Previous studies have recognised a correlation between cattle in the early stages of disease and reduced levels of social interaction. However, farmers are frequently too busy to closely monitor social interactions between their cows.

The AI developed by the research team is able to track the motion of cows, as well as recognising each cow by its distinctive coat pattern.

Once the AI has been trained to spot behaviour changes that indicate early-stage mastitis and lameness, it will be deployed to recruited farms for testing.

Professor Dowsey said: “We are excited to have been given the opportunity to fuse Bristol Veterinary School’s world-class expertise in animal behaviour with our recent developments in artificial intelligence for livestock monitoring.

“Detecting subtle changes in social behaviour could hold the key to the early diagnosis of disease in dairy cattle."

Image (C) Shutterstock

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Free CPD announced for BVNA members

News Story 1
 Zoetis is to present a CPD event for free to members of the British Veterinary Nursing Association (BVNA).

Led by veterinary consultant Ruth Moxon, the one-hour online session is designed to help veterinary nurses discuss parasiticide options with clients. It will advise on structuring recommendations, factors for product choice and moving away from 'selling'.

'How do you recommend parasite treatments to your clients?' will be presented on Tuesday, 20 May at 7.30pm. It is free for BVNA members, with £15.00 tickets for non-members.

Veterinary nurses can email cpd@bvna.co.uk to book their place. 

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DAERA to reduce BVD 'grace period'

DAERA has reminded herd keepers of an upcoming reduction to the 'grace period' to avoid BVD herd restrictions.

From 1 May 2025, herd keepers will have seven days to cull any BVD positive or inconclusive animals to avoid restrictions being applied to their herd.

It follows legislation introduced on 1 February, as DAERA introduces herd movement restrictions through a phased approach. Herd keepers originally had 28 days to cull BVD positive or inconclusive animals.

DAERA says that, providing herd keepers use the seven-day grace period, no herds should be restricted within the first year of these measures.

Additional measures, which will target herds with animals over 30 days old that haven't been tested for BVD, will be introduced from 1 June 2025.

More information is available on the DAERA website.