AI-Blockchain synergy for resilient agricultural supply chains: an evolutionary game analysis
构建AI与区块链协同框架，通过三方演化博弈模型分析技术协同对农业供应链韧性的影响，提出量化韧性指数和双重阈值条件，为缓解信息不对称和季节性波动提供策略。
Agricultural supply chain finance faces enduring challenges stemming from information asymmetry, seasonal fluctuations, and credit constraints. This study develops an integrated framework combining artificial intelligence and blockchain technologies to strengthen supply chain resilience. We establish a tripartite evolutionary game model engaging banks, core enterprises, and small and medium-sized enterprises, incorporating dynamic technical parameters alongside critical operational variables including inventory dynamics, seasonal financing patterns, and heterogeneous agent behaviours. Through evolutionary game theory and systematic numerical simulations, we examine how AI-blockchain synergy influences strategic evolution and stability conditions. The study introduces a quantifiable resilience index R and identifies dual threshold conditions governing effective technological collaboration. Based on these findings, we design coordinated financing and inventory management strategies. Our results demonstrate that the proposed mechanism reduces agency costs, enhances credit assessment and demand forecasting accuracy, and directs the system toward Pareto-optimal equilibrium. This creates a self-reinforcing cycle where technological advancement drives operational improvements that subsequently strengthen systemic resilience. These findings provide theoretical foundations, analytical tools, and practical guidance for developing data-enriched, resilient agricultural supply chains.