To provide the next generation of ruminant livestock monitoring solutions improving the lives of farmers and their livestock. We plan to bring to market the first autonomous livestock monitoring system for ruminant livestock based on video analytics powered by deep learning Artificial Intelligence.
Exponential growth in world population coupled with increased protein consumption have put pressure on existing livestock protein sources. Legislation limiting emissions from livestock mean that we cannot simply farm more animals to feed the increasing demand but instead need to become more efficient with our land and animals.
Consumers and therefore supermarkets demand greater welfare standards from their farm suppliers. Consumer confidence has been dented by anti-dairy marketing campaigns focusing on how intensively farmed dairy cows suffer high lameness levels.
Video analytics technology has seen rapid advances in recent years. Complex machine learning methodologies and algorithms are now becoming readily available. In addition, video capture technology has become ubiquitous with both stationary cameras and drones increasing in sophistication and decreasing in cost.
The convergence of these macro trends have created a compelling commercial opportunity in the livestock industry to harness the benefits of a deep learning video analytics platform. Such a platform could utilise visual data to derive novel insights about the animal that could in turn be used to more efficiently manage animals and improve welfare standards.