Precision feeding is a process that attempts to determine feed requirements for individual pigs. This paper creates a mathematical model to determine individual pig diet needs based on nutrient requirements and daily energy requirements. This model used an empirical method to determine body weight, daily feed intake and daily growth. The body weight, daily feed intake and daily gain were then used in a mechanical model to determine current-day nutrient requirements, optimal dietary energy and nutrient concentrations for each pig. The model was evaluated by comparing it to data acquired from a previous study done on a pig population. The model was compared with InraPorc and both models had similar estimates of DFI with the average mean absolute errors being 12.45% and 14.76% respectfully. They varied somewhat between body weight estimations, the proposed model being 1.8% and the InraPorc being 5.38%. The proposed model was accurate in estimating change in body weight and daily feed intake. The model estimated energy and nutrient requirements that are animal and time dependent and follow the individual DFI and BW growth patterns in real time. The model was able to accurately follow average feed intake and average growth trajectory of growing pigs in real time. Based on these trajectories and the use of classical factorial equations the model is able to predict each individual pigs nutrient and energy requirements taking into account each pigs growth and feed intake changes.

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