Features of forming the value creation chain in grain production based on artificial intelligence

The paper explores the specifics of forming an effective value chain in grain production, with a focus on the role of artificial intelligence. The main objective of value chain management is to ensure the country's food security by transitioning to innovative farming methods based on artificial intelligence technologies. The use of digital intelligent solutions reduces operational risks, enhances production productivity and quality, and contributes to the sustainability and competitiveness of the agricultural sector. Key aspects of establishing an efficient value chain are highlighted, including: internal integration of business processes based on neural networks, promoting reduced material costs, decreased labor input, effective risk management, and increased overall execution of production functions; monitoring of all value chain stages, ensuring real-time responses to emerging events, issues, and risky situations; a multi-level management system, spanning from individual farms to regions and countries, fostering alignment among all participants in the process; in the grain complex, where the value chain comprises multiple stages and processes, ensuring coordination and interaction across different production levels becomes crucial. The article demonstrates that effective interaction and alignment among all the participants in the value chain are achieved through a monitoring system. Importantly, artificial intelligence technologies, adapted to various management levels, play a pivotal role in obtaining high-quality, processed, structured, and hierarchically organized data regarding management processes. The paper underscores the importance of digital transformation and the role of artificial intelligence in ensuring efficiency and sustainability of grain production, as well as ensuring food security of the country.