A Cloud-Federated Agentic AI Framework for Sustainable Agricultural and Food Supply Chain Management

Agricultural and food supply chains face increasing challenges due to demand uncertainty, climate variability, resource constraints, and complex multi-stakeholder coordination. Traditional supply chain management approaches often lack the adaptability and predictive capabilities required to address these dynamic conditions. This study proposes a cloud-enabled Agentic Artificial Intelligence (AI) framework designed to enhance the intelligence, resilience, and sustainability of agricultural and food supply chains. The proposed architecture integrates autonomous decision-making agents with distributed data environments and cloud infrastructure to enable predictive logistics, collaborative coordination, and real-time decision support across supply chain actors. The framework leverages agentic AI capabilities such as goal-directed behavior, continuous learning, and decentralized coordination to manage key supply chain functions including demand forecasting, inventory optimization, transportation planning, and disruption management. Cloud computing provides scalable data integration, interoperability, and secure information sharing among stakeholders, enabling real-time monitoring and predictive analytics across geographically distributed supply chain networks. Through multi-agent collaboration and cloud-based intelligence, the proposed system supports proactive responses to disruptions, improves operational efficiency, and reduces waste in food distribution systems. By combining agentic AI with cloud infrastructure, the framework offers a scalable and adaptive approach for modernizing agro-food supply chain management. The proposed model contributes to the emerging field of intelligent supply networks by demonstrating how autonomous AI agents and cloud platforms can jointly support sustainable, data-driven, and resilient food supply systems.

کلیدواژه ها:

Agentic Artificial Intelligence ، Agricultural Supply Chains ، Food Supply Chain Management ، Cloud Computing ، Predictive Logistics ، Intelligent Supply Networks ، Multi-Agent Systems ، Sustainable Food Systems