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Abstract
To make management decisions, it is necessary not only to have reliable data, but to adequately and timely analyze them as well. Applying digital technologies in agriculture, decision support systems for diet formulation with mathematical exactness will allow planning animal’s feeding taking into account many factors (animal genotype, age, seasonality, etc.). The growth and development of animals, their productivity depend primarily on the level of balanced feeding. The article proposes a computer system methodology for evaluating and optimizing the diet of animal feeding based on a structural-parametric model. The advantage of the structural-parametric model of animal feeding is that it considers the whole variety of factors of nutrients influence on the processes occurring in the animal’s body, depending on its current physiological state; allows one to establish patterns, the knowledge of which with a sufficient degree of confidence speaks about possible deviations in feeding, the reasons for their occurrence; allows one to find a solution to replenish the imbalance in the required macro- and micronutrients. The use in agriculture of science-intensive decision support systems based on knowledge of the subject matter experts and strictly verified mathematical methods will increase the productivity of animals and provide a high-quality product with the ability to trace the trophological chain from the field to the counter.
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Details
1 Center of Economic and Analytical Research and Information Technologies, V M Gorbatov Federal Research Center for Food Systems of RAS, 26, Talalikhina Str., Moscow, 109316, Russia