Modeling the economic efficiency of implementing smart technology at agricultural enterprises

The article deals with the issues of modeling the economic efficiency of implementing smart technologies in agricultural enterprises. Against the background of growing global competition and the need for sustainable agricultural production digitalization of the agricultural sector, including elements of artificial intelligence, robotics and the Internet of Things (IoT), is becoming an important factor in increasing productivity and reducing costs. Application of smart technology in agriculture helps to improve crop yields, reduce water and fertilizer costs, and optimize livestock management processes. The study is based on models using linear programming and machine learning methods to analyze the economic efficiency and assess the risks associated with the implementation of this technology. We have considered the examples of smart technology applications at enterprises, which demonstrate the potential for significant productivity growth and increased resilience to climate and economic challenges. The article also focuses on environmental aspects, since reducing the negative impact on the environment using innovative technologies is becoming a priority for the agricultural sector.