Modelling the dependence of biometric data of cows on their blood parameters and feed additives

In this paper we have successfully attempted to model the dependence of cow biometric data on blood parameters and feed additives using AnimalNN neural network. The AnimalNN neural network calculates the Cognitive Salience Index (CSI), which acts as a dimensionless parameter related, on the one hand, to the blood parameters of animals and, on the other hand, to the biometric data of animals. Such parametric cognitive connection allows to estimate the influence of feed mineral additives on metabolic processes occurring in the organism of animals and on their biometric data according to the blood parameters of animals. As a result of the research the positive effect of humic feed additives on animal health is shown.