Animal Feed Formulation—Connecting Technologies to Build a Resilient and Sustainable System

Animal Feed Formulation—Connecting Technologies to Build a Resilient and Sustainable System

17 May 2024 | Oreofeoluwa Akintan, Kifle G. Gebremedhin, and Daniel Dooyum Uyeh
This paper addresses the challenges of increasing global population on the livestock industry, emphasizing the need to enhance animal productivity and sustainability. It explores how feed producers can use advanced formulation techniques, particularly AI decision support systems, to optimize feed composition for animal health and environmental sustainability. The study reviews current feed formulation technologies, their applications, and limitations, highlighting the importance of connecting technologies to build a resilient and sustainable system. The paper discusses the role of AI in improving feed formulation models and decision support tools, aiming to enhance animal production and contribute to global environmental conservation. It also examines the impact of climate change on animal nutrition and productivity, and the need for sustainable practices in feed formulation. The study emphasizes the potential of formulation techniques to positively impact the environment and improve animal quality and performance. It concludes that integrating AI-driven solutions is essential for the livestock industry to meet global demands while mitigating environmental impacts, promoting sustainable agriculture. The paper provides actionable insights for improving animal feed production by examining and connecting formulation models and decision support tools.This paper addresses the challenges of increasing global population on the livestock industry, emphasizing the need to enhance animal productivity and sustainability. It explores how feed producers can use advanced formulation techniques, particularly AI decision support systems, to optimize feed composition for animal health and environmental sustainability. The study reviews current feed formulation technologies, their applications, and limitations, highlighting the importance of connecting technologies to build a resilient and sustainable system. The paper discusses the role of AI in improving feed formulation models and decision support tools, aiming to enhance animal production and contribute to global environmental conservation. It also examines the impact of climate change on animal nutrition and productivity, and the need for sustainable practices in feed formulation. The study emphasizes the potential of formulation techniques to positively impact the environment and improve animal quality and performance. It concludes that integrating AI-driven solutions is essential for the livestock industry to meet global demands while mitigating environmental impacts, promoting sustainable agriculture. The paper provides actionable insights for improving animal feed production by examining and connecting formulation models and decision support tools.
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