Data-driven, adaptive feed models transform animal nutrition

How machine learning and IoT sensors are transforming livestock nutrition from static formulas to real-time, adaptive feeding strategies.

Feedmill Of The Future Copy
Courtesy BESTMIX
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For decades, farmers have relied on mechanistic animal models to guide livestock nutrition. While these approaches provided structure and predictability, they lacked the flexibility to adapt to real-world changes on the farm. Today, advances in data science are opening the door to a new era: big data-driven, adaptive feed models that continuously adjust diets based on real-time inputs such as animal health, animal performance and ingredient availability.

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