Hoofcount is a 10-year-old family business, focusing on how to keep cows’ hoofs clean and healthy. Their project is aimed at using vision to develop an early detection lameness monitoring system. It has won funding from UK Research and Innovation (UKRI), part of Defra’s Farming Innovation Programme, for feasibility studies combining innovation with research and collaboration with farmers and growers.
Hoof health is a prevalent issue in agriculture, particularly in the dairy industry, as it is one of the main factors leading to poor milk production. Dairy cows are susceptible to a range of hoof issues including Digital dermatitis, sole ulcers, white line disease and overgrown hooves. These often show a visual change in the underside and back of the hoof. These issues can develop initially without the animal showing visual signs in its gait.
Detecting and treating these issues at an early stage is beneficial to the animal in keeping the hooves healthy and preventing severe lameness which leads to a lower production, increased veterinary and treatment costs, reduced animal welfare, a higher Carbon footprint, and many other issues. Developing a system that can visualise these changes daily and detect any potential issues early will be of huge benefit to the national herd. Utilising computer vision and machine learning is Hoofcount’s preferred method for monitoring and detecting these issues.
“Lameness is a key issue in dairy herds, with conservative estimates of 25% of dairy cattle suffering from lameness and each lame cow costing more than £300 in loss of production and treatment. The Hoofcount footbath is trusted and recommended by farmers, vets and hoof trimmers internationally as they are seeing a continuous fall in lameness on farms using the Hoofcount Automatic Footbath.”
