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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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Antibiotic Amnesty survey opens

News Story 1
 The Responsible Use of Medicines Alliance - Companion Animal and Equine (RUMA - CA&E) has launched a survey which seeks to measure the success of this year's Antibiotic Amnesty campaign.

Its results will help the group to calculate how many unused or out-of-date antibiotics were returned as part of the campaign throughout November. Practices are also asked how they engaged with clients to raise awareness of the issue.

Participating practices can enter a prize draw to win up to 100 in vouchers for taking part. Further prizes from BSAVA and Webinar Vet will be available for practices with the best input.

The survey takes a few minutes to complete and will be running throughout December. It can be accessed via this link

Click here for more...
News Shorts
NSA survey investigates sheep worrying

The National Sheep Association (NSA) has launched its latest survey to better understand the severity of sheep worrying in the UK.

The survey will be open until Friday, 21 February 2025. UK sheep farmers are invited to share their experiences of sheep worrying by dogs and its impact on the industry.

NSA has been gathering information about sheep worrying for over 10 years as part of its campaign to raise awareness of incidents and produce new ways of educating the public.

Sheep worrying, often caused by dogs being loose near fields, can result in physical injury, miscarriage and death of animals affected.

The results of the survey will be shared with interested parties, including the UK press, before spring and ahead of lambing season next year.

For more information, or to complete the survey, visit NSA's website.