The optimization of food supply chain management is crucial for ensuring sustainability and efficiency in the global food industry. This paper explores the integration of Blockchain Technology and Artificial Intelligence (AI) to enhance food supply chain operations. Blockchain technology offers a decentralized and immutable ledger, which significantly improves traceability, transparency, and security throughout the supply chain. By documenting every transaction and movement of goods in a tamper-proof system, Blockchain helps in reducing fraud, improving food safety, and ensuring compliance with regulatory standards. On the other hand, AI provides advanced analytical capabilities and decision-making support. AI algorithms can process vast amounts of data generated across the supply chain, enabling predictive analytics for demand forecasting, inventory management, and optimization of logistics. Machine learning models can identify patterns and trends, leading to more accurate predictions and more efficient resource allocation. The convergence of Blockchain and AI technologies creates a robust framework for addressing challenges in food supply chain management. Blockchain ensures data integrity and transparency, while AI enhances decision-making processes and operational efficiency. This synergy not only streamlines supply chain operations but also promotes sustainable practices by reducing waste, optimizing resource use, and improving overall supply chain resilience. This paper presents a comprehensive review of current applications, explores case studies, and evaluates the potential impacts of these technologies on sustainable food supply chain management. It also discusses future research directions and the challenges associated with integrating Blockchain and AI technologies in the food industry.