Abstract: The integration of Cyber-Physical Systems (CPS) and Artificial Intelligence (AI) in food manufacturing represents a significant technological advancement aimed at enhancing nutritional quality and ensuring food safety. CPS, which combines physical processes with computational intelligence, provides real-time monitoring, control, and optimization of food production processes. AI further augments these systems by enabling predictive analytics, adaptive learning, and automation. Together, these technologies create a robust framework that improves the precision, efficiency, and reliability of food manufacturing operations. The application of CPS and AI in food manufacturing addresses critical industry challenges such as maintaining consistent product quality, optimizing resource utilization, and reducing the risk of contamination. Through real-time data collection and analysis, manufacturers can monitor every stage of the production process, from raw material sourcing to final product packaging, ensuring that nutritional standards are met and safety protocols are strictly adhered to. Predictive maintenance, facilitated by AI, minimizes equipment downtime and extends machinery lifespan, leading to reduced operational costs and enhanced production continuity. Furthermore, these technologies support the implementation of sustainable practices by optimizing energy consumption and minimizing waste, contributing to the industry's environmental goals. Despite the clear benefits, integrating CPS and AI into existing food manufacturing systems presents challenges, including high initial costs, the complexity of implementation, and the need for skilled personnel to manage and maintain these advanced systems. However, the long-term advantages, such as increased efficiency, improved product quality, enhanced safety, and competitive differentiation, outweigh these challenges, making CPS and AI a valuable investment for forward-thinking food manufacturers. As the food industry continues to evolve, the adoption of CPS and AI is expected to grow, driving innovation and setting new standards for excellence in food manufacturing. This research explores the impact of CPS and AI on food manufacturing, highlighting the transformative potential of these technologies in ensuring nutritional quality and safety, and providing insights into the challenges and opportunities that lie ahead.