Advances in smart food authentication for enhanced safety and quality

Abstract

Background

Food authentication is crucial for ensuring safety, quality, and traceability in the global food supply chain. With rising incidences of food fraud and adulteration, advanced methods are needed to verify product authenticity. Traditional methods often fall short, necessitating the integration of technologies such as Artificial Intelligence (AI), Machine Learning (ML), the Internet of Things (IoT), and blockchain.

Scope and approach

This review explores the application of AI, ML, IoT, and blockchain technologies in food authentication. It evaluates their effectiveness in enhancing the accuracy, efficiency, and transparency of authentication processes. The review analyzes recent advancements and applications, providing a comprehensive understanding of the current state and future prospects of smart food authentication.

Key findings and conclusions

AI and ML algorithms are used to analyze extensive datasets, identifying patterns indicative of food fraud. IoT devices enable real-time monitoring of the food supply chain, ensuring compliance with quality standards. Blockchain technology offers secure and transparent record-keeping, revolutionizing traceability from farm to table. These technologies provide unparalleled accuracy, efficiency, and traceability, ensuring the authenticity and safety of food products. The review underscores their potential to strengthen the global food supply system, addressing modern supply chain challenges and meeting regulatory standards and consumer demands.

This review highlights the transformative potential of integrating advanced technologies into food authentication processes, paving the way for a more secure and trustworthy food supply chain.