Effective Management for Blockchain-Based Agri-Food Supply Chains Using Deep Reinforcement Learning

Effective Management for Blockchain-Based Agri-Food Supply Chains Using Deep Reinforcement Learning

1Prof.Smita Bhosale, 2Sakshi Bele, 3Ganesh Jethure, 4Rohit Gawali

1,2,3,4Sinhgad Institute of Technology and Science, Narhe, Pune, India

Abstract - The agri-food industry faces persistent challenges in managing supply chains, including inefficiencies, traceability issues, and compliance concerns. Leveraging blockchain technology offers transparency, yet optimizing decision-making remains a challenge. This research explores the integration of deep reinforcement learning (DRL) with blockchain-based agri-food supply chains to enhance efficiency, transparency, and compliance. The study focuses on developing DRL models, integrating them with blockchain, optimizing operations, ensuring quality control, and evaluating performance.

Key Words:  Agri-Food Supply Chains, Blockchain Technology, Deep Reinforcement Learning, Decision-Making Optimization, Transparency, Compliance