Dr. Daniel Uyeh: AI Technology Transforming Feed Analysis | Ep. 175
In this episode of The Feed Science Podcast Show, Dr. Daniel Uyeh, Assistant Professor at Michigan State University, explains how rapid feed characterization can support more precise livestock nutrition. He discusses data quality, precision feeding, sustainability, and tools that support better feed formulation decisions. Discover how emerging technologies are shaping the future of animal nutrition. Listen now on all major platforms!
"Rapid feed characterization can help producers understand feed materials before formulation decisions create cost, performance, or sustainability consequences."
Meet the guest: Dr. Daniel Uyeh is an Assistant Professor at Michigan State University and part of the Department of Biosystems and Agricultural Engineering. His work connects climate-smart agriculture, decision support systems, AI, feed ration optimization, and nondestructive characterization of agricultural materials. Learn more from Dr. Daniel Uyeh on The Feed Science Podcast Show, available on all major platforms.
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What will you learn:
- (00:00) Highlight
- (02:03) Introduction
- (03:30) Feed ration background
- (09:58) Feed analysis limits
- (15:13) AI and sensing technology
- (19:58) Rapid characterization
- (25:23) Sustainability and milk production
- (35:10) Closing thoughts
The Feed Science Podcast Show is trusted and supported by innovative companies like:
* Evonik
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- WiseVAs
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