Economic Modeling of the Demand Structure for Agricultural Machinery in the Context of Digitalization of the Agricultural Sector

The study aims to analyze the structure of demand for agricultural machinery under conditions of digital transformation in the agricultural sector. Using economic modeling methods, key factors influencing demand were identified, including technological development, production scale, and digital adoption. The research was conducted through statistical analysis and modeling techniques. The results demonstrate a strong correlation between digitalization and changes in machinery needs. These findings are important for producers and policymakers in shaping strategies that support sustainable agricultural modernization.