A Survey of Best Management Practices of Swine Farms Across Canada – Part 2

Sep 30, 2024

This article will continue to focus on the adoption of best management practices; and how we are doing as an industry. Two projects funded by Swine Innovation Porc and carried out by Prairie Swine Centre (PSC) and Centre de développement du porc du Québec (CDPQ) focused on best management practices looking at biosecurity/herd health, feed/feeder management, and personal protection, water use/management, in addition to each phase of production (breeding, gestation, farrowing, nursery, and grow-finish.

Audit results indicate that dust masks, hearing protection and hydrogen sulphide (H2S) monitors are being used to varying degrees in on farms across Canada. Approximately 90% of farms indicate that they provide creep feed. Results from the audit indicate that approximately half of participating farms sort pigs when transferred into the finishing barn. A majority of respondents (66%) indicate we adjust feeders as required. Just over 50% of measured feeders achieved an ideal feeder adjustment while 30% and 14% of feeders were over or under adjusted respectively. Based on some of the results we can see that little changes can make a big impact on the overall profitability of your operation. Currently there seems to be a margin for improvement as we achieve a 40-50% of measured and surveyed best management practices.

Source : Swine Web

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.