Reza Sabbagh, iClassifier CEO and a professor at the University of Alberta, commented on the technology's potential impact. "Automating this process allows for more frequent and accurate evaluations, leading to longer-living, more productive cows," Sabbagh stated. Ghader Manafiazar, co-founder and animal scientist, further elaborated on the benefits, noting that classified cows can yield a profit of $350 more annually compared to non-classified ones.
One of the keys to the startup's rapid innovation is its collaboration with Mitacs. This partnership offers access to top post-secondary talent, bridging the gap between innovative ideas and actionable research. Emran Hamzehnezhadabkenari, a Mitacs intern from the University of Alberta, is applying cutting-edge techniques like deep learning to detect early signs of lameness in cattle.
iClassifier's debut in the market is highly anticipated, with pilot testing slated for a Canadian dairy farm soon. The company also aims to showcase its system at the globally renowned Gitex Northstar event in Dubai, with plans to expand the technology to other livestock in the future.
Through advanced AI and innovative collaborations, iClassifier promises a future where dairy farms are smarter, more efficient, and focused on the well-being of their herds.