Webinar: Early Lameness Detection through Machine Learning
Demonstration activity by our Use Case Early Lameness Detection through Machine Learning
Early lameness is a considerable problem in the dairy industry. It causes pain and discomfort for the cow, while lowering fertility and milk yield for the farmer. Since current solutions come with high-initial costs and complex equipment, this use case utilises leg mounted sensors - measuring step count, lying time and swaps per hour - in combination with machine learning algorithms to identify lame cattle at an early stage. These data are analysed in the cloud and anomalies are sent to farmers’ mobile device to treat affected animals immediately and avoid further effects. As opposed to a general approach, this use case customises the data models to dynamically adjust as weather and farm conditions change. By detecting early lameness before it can be visually captured, treatment costs are decreased while animal welfare is improved.
Take a look at the online demonstration and presentations from representatives of TSSG, Herdsy, ENSG, and the Waterford Institute of Technology below. It is an excellent opportunity to deepen your knowledge on the applications of IoT solutions to dairy farms as well as machine learning in general.