Development of Mathematical Nutrition Models to Assist with Smart Farming and Sustainable Production
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abstract
In recent decades, two major issues have contributed to an increased negative perception of animal agriculture by the publicworldwide: food safety and environmental pollution. Firstly, the growing public concerns over chemical residues in animalderivedfoods and threats of antibiotic-resistant bacteria have renewed interest in exploring safer alternatives to chemical feedadditives (e.g. antibiotics) in ruminant livestock. Secondly, the exponential increase in the concentration of greenhouse gases(GHG), mainly nitrous oxide (N2O) and methane (CH4), in the atmosphere and phosphorus (P) in surface-water runoff hastriggered concerns regarding the contributions of modern animal production techniques on global warming and environmentalpollution. The Ruminant Nutrition System (RNS) project can assist with the second issue by improving feed management andreducing nutrient excretion into the environment.
