THE ROLE OF ARTIFICIAL INTELLIGENCE IN ENSURING ADAPTIVE DEVELOPMENT OF AGRICULTURAL ENTERPRISES

Introduction. The agricultural sector plays a crucial role in ensuring global food security and economic stability. Modern challenges such as war, resource depletion, and increasing demographic pressure require changes in the approaches to managing agricultural enterprises in the context of adaptive development. Artificial intelligence (AI) offers new opportunities for ensuring the adaptability and sustainability of agricultural enterprises, particularly through data analysis, robotics, and process automation, which allow for increased productivity, reduced costs, and improved resource management. The use of AI in agriculture is becoming increasingly relevant in the context of adapting to new conditions and enhancing the competitiveness of agricultural enterprises. Purpose. The purpose of this study is to explore the potential of artificial intelligence in the adaptive development of agricultural enterprises. The main objectives include analyzing modern AI technologies, their impact on the productivity and efficiency of agricultural enterprises, and identifying ways to further implement AI in agriculture. Materials and methods. The materials for this study include scientific works by domestic and foreign authors who research the application of AI in agriculture, as well as reports from consulting companies that analyze trends in automation and the use of AI in agriculture. The method of theoretical generalization and grouping was used to systematize information about modern AI technologies and their application in the agricultural sector. This method allowed for the identification of the main directions of AI implementation and their impact on the productivity and efficiency of agricultural enterprises. The method of logical generalization was used to formulate conclusions regarding the role of AI in the adaptive development of agricultural enterprises. This method allowed for drawing general conclusions about the economic efficiency of AI implementation and determining the prospects for further research in this field. Results. The article investigates the potential of artificial intelligence (AI) in transforming agriculture. The factors that emphasize the numerous possibilities and advantages of using AI to increase productivity and sustainability in agriculture have been systematized and summarized. The economic benefits of AI implementation have been revealed, including increased productivity, reduced costs, improved product quality, reduced risks, and enhanced competitiveness. The authors highlight the importance of government support and investment in AI research and development for agriculture. The implementation of AI can provide significant increases in productivity and economic efficiency. However, the full potential of AI requires joint efforts from governments, research institutions, and the private sector in the areas of investment, education, and the development of technological standards. Discussion. Further research may be directed towards studying the impact of AI on different types of agricultural enterprises, taking into account their size and specificity, as well as analyzing the barriers to AI implementation in agriculture and developing recommendations to overcome them.