Modern Approaches to Mathematical Modeling in Animal Husbandry

An analytical review of modern approaches to mathematical modeling in animal husbandry is presented. Mechanistic, empirical, stochastic, combined models, as well as models based on artificial intelligence are considered and compared. Special attention is paid to the analysis of the effectiveness of the use of models for predicting productivity, assessing feed consumption, methane emissions, health monitoring, disease diagnostics, as well as economic efficiency and sustainable development. The key advantages and disadvantages of each approach and development prospects are identified, in particular the integration of models with digital technologies. Modeling is considered as a strategic tool for the digital transformation of the industry in conditions for increasing the efficiency of animal husbandry, taking into account new environmental and economic challenges.