Published Paper Details:

Edge Artificial Intelligence (Edge AI) and the Internet of Things (IoT) are revolutionizing the smart food manufacturing landscape, offering enhanced adaptive process control, real-time quality monitoring, and more sustainable production processes. Food manufacturers must make quick and accurate decisions to ensure product consistency, safety, and operational efficiency in their food manufacturing processes. Smart use of IoT-based infrastructure, with its sensors and edge-based analytics, can process data near its source, thereby reducing latency and enabling instant responses to process changes. This paper reviews the system architecture for smart food manufacturing enabled by Edge AI, focusing on physical sensing, local data collection, Edge AI intelligence, and cloud connectivity, and highlighting communication protocols and deployment considerations. It also focuses on the use of artificial intelligence (AI) for developing adaptive control strategies, including predictive modeling, anomaly detection, and closed-loop feedback for process optimization and quality assurance. Furthermore, the article discusses the benefits of minimizing waste, conserving energy, and predicting maintenance needs. Lastly, the following key challenges are addressed: security, interoperability, scalability, and integration complexity, as well as future opportunities such as 5G, blockchain, and digital twins for smart and resilient food systems.