Mastitis is the most common disease in dairy cows in North America. With 20% of cows afflicted annually, Mastitis costs each dairy farmer an average of $20,000 per year, $1.55 Billion throughout North America. SomaDetect identified a solution for farmers to spot mastitis early, drastically reducing loss and downtime. With an idea in mind, SomaDetect asked us to bring their idea to life.
We built an IoT solution that uses sensors to measure somatic cell counts and fat content as milk passes through the lines. Reading the distinct pattern of light from a laser signal travelling through the milk, the solution provides farmers with the ability to spot mastitis faster, enabling targeted treatment and preventing contamination of the bulk milk tank.
Using AWS IoT, the information from the sensors is analyzed digitally and sent to an AWS serverless infrastructure where it is processed and displayed in an easy-to-understand web application. Farmers get real-time alerts on their phones when mastitis is detected and can access a dashboard showing historical trends. Tracking trends in somatic cell counts and fat content allows farmers to enhance milk quality and improve process management.
SomaDetect used the prototype to secure investors and prepare for a successful launch of the product across Canada and the U.S. The company is working with approximately 60 dairy farms across North America, growing at a steady pace and continuing to educate farmers about the value of IoT.