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SCIENCE CONFIRMS THE BEEF INDUSTRY’S ENVIRONMENTAL BENEFITS

Canadian beef producers continue to make significant progress in making their operations more environmentally sustainable thanks in part to research and extension efforts.  

“We’ve done a lot of work to quantify how beef producers are reducing their environmental footprint,” Dr. Kim Ominski says, citing results showing lower greenhouse gas emissions, water use and ammonia emissions per kilogram of beef produced. Ominski is a professor in the University of Manitoba’s Animal Science Department and this year’s recipient of the Canadian Beef Industry Award for Outstanding Research and Innovation. 

She says improvements have occurred in animal productivity (reproductive efficiency, weaning weight, carcass weight) and crop yields (barley grain, barley silage, corn grain and corn silage).  Improving productivity allows more beef to be produced from fewer cattle, less feed, land and water, and reduces emissions per kilogram of beef. 

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What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

Video: What Successful AI Implementation Looks Like in the Protein Industry | Ben Allen, CEO of BinSentry

In this conversation, Ben Allen, CEO of BinSentry, explores what separates successful AI implementation from early experimentation across the protein industry. As producers begin integrating artificial intelligence into their operations, the most effective implementations share common themes: strong data foundations, practical use cases, and a focus on solving real operational challenges. Ben discusses why data quality and integration are essential for AI to deliver meaningful results, and why technology alone is not enough. Successful adoption also depends heavily on people, training, and company culture, ensuring teams understand how to use new tools and trust the insights they provide. Looking ahead, the conversation highlights the steps protein producers can take today—from improving data infrastructure to embracing digital tools—to position their operations for long-term success in an increasingly AI-driven industry.