The growth rate of agriculture has a direct impact on certain economic indicators, as well as on macroeconomic and social stability in the country. With the development of computer technologies, modeling of complex processes, including economic ones, is gaining popularity, since it allows you to reduce the time for calculations and increase the accuracy of obtaining results. This article presents some models and approaches, including those using machine learning, that make it possible to predict the dynamics of agricultural growth rates