Abstract:

With the rapid development of artificial intelligence (AI), its application in agriculture has become increasingly widespread, presenting new opportunities for agricultural industry chain development. This study took Henan Province as a case to explore the advantages, constraints, and countermeasures for the integrated development of AI and agricultural industry chain, aiming to promote agricultural modernization. Through a systematic analysis of core concepts, key technologies, and application scenarios of AI in agricultural industry chain, combined with demand coupling theory, this study evaluated the integration potential of AI with agricultural industry chain in Henan Province. Case analysis was employed to examine practical effects of AI in improving resource allocation, risk dynamic control, and industrial chain collaboration. Field research and literature review were used to identify key constraints in the integration development. The results showed that AI had significant advantages in agricultural industry chain of Henan Province, including optimizing resource allocation, strengthening risk control, and promoting vertical collaboration. Its application value had been verified through practical cases. However, integration development faced constraints such as weak development foundations, complex industrial chains, weak main forces, and imperfect institutional mechanisms. To promote the deep integration of AI and agricultural industry chain in Henan Province, it is suggested to formulate countermeasures from the aspects of introducing and cultivating artificial intelligence enterprises and teams, improving innovation layout, optimizing development mechanisms, and strengthening policy supply. This study provides theoretical basis and practical reference for the development of regional agricultural intelligence.

Key words: artificial intelligence (AI), Henan Province, agricultural industry chain, integration