In this episode of The Poultry Podcast Show, Dr. Jennifer Ellis from the University of Guelph talks about how machine learning can improve feed mill systems and pellet quality. She shares practical insights on boosting efficiency and consistency in the poultry industry using cutting-edge, data-driven strategies. Discover how these innovations are shaping the future of poultry production and helping to ensure top-notch animal performance. Don’t wait—catch the episode now on your favorite podcast platform!

"Machine learning in agriculture bridges complex data sets with actionable insights for feed mill optimization."

Meet the guest:

Dr. Jennifer Ellis serves as an Associate Professor of Animal Systems Modeling at the University of Guelph, where she also earned her MSc and PhD in mathematical modeling. Her research focuses on mechanistic modeling, machine learning, and system optimization, contributing to groundbreaking insights into animal production systems. With a unique blend of academic and industry expertise, Dr. Ellis brings forward-thinking approaches to improving feed mill systems.

Connect with our guest on Social Media: LinkedIn

• (00:00) Introduction
• (02:05) Optimizing pellet quality
• (04:45) Machine learning in feed mills
• (09:30) Data collection & challenges
• (13:50) Balancing speed & quality
• (19:20) Future modeling directions
• (25:42) Final Questions

The Poultry Podcast Show is trusted and supported by innovative companies like:

- Berg + Schmidt

 -Adisseo

- AB Vista

- Natural Biologics

- dsm-firmenich

- Trouw

- Probiotech

- bioMérieux

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