The Poultry Podcast Show Dr. Jennifer Ellis: AI & Feed Performance | Ep. 120
Dec 17, 2024
Dr. Jennifer Ellis, an Associate Professor of Animal Systems Modeling at the University of Guelph, dives into how machine learning can revolutionize feed mill systems and pellet quality. She discusses the balance between efficiency and quality in poultry feed production, highlighting innovative data-driven strategies. Dr. Ellis also clarifies the roles of AI and machine learning, exploring their impact on enhancing feed performance. Get ready to learn how these groundbreaking approaches are shaping the future of poultry production!
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Episode notes
Botched Experiment Sparks Idea
- Dr. Ellis's feed manufacturing trials were confounded by unexpected poor pellet quality.
- This sparked her interest in using machine learning to predict and understand pellet quality outcomes.
Pellet Quality's Impact
- Pellet quality significantly impacts animal performance, especially in monogastrics.
- Poor quality and high fines can reduce feed conversion and create nutrient delivery inconsistencies.
Machine Learning Defined
- Machine learning, a subfield of AI, trains algorithms on data to predict outcomes with new data.
- The rise of big data in agriculture allows for better analysis using these existing algorithms.
