AI-Powered Advancements in Food Analysis and Safety: Ensuring Quality, Protection, and Precision in Modern Food Systems: A Review

Abstract

The review paper is about the amazing influence that artificial intelligence (AI) has brought to the food production industry, as it gives much importance to food safety and quality assurance. It introduces the connection of AI technologies, including machine learning, deep learning, and computer vision, to enhancing food safety, control, and analysis. The role of AI in contaminant detection and spoilage prediction is underlined. One of the applications is using near-infrared spectroscopy on a machine learning algorithm sample to determine if it contains any adulterants in olive oil. Also, trying to develop computer vision techniques that can soon be widely deployed to detect defects in the automated visual inspection of produce. Real-time monitoring sensors incorporated in smart packaging solutions are among the AI that protects and manages the freshness and safety of perishable goods. The review, through analyzing up-to-date AI techniques in the food sector, also proposes potential remedies to the ongoing food issues that can lead to unhealthy and unsafe products. Furthermore, it sheds light on AI's role in food science and its function as a safeguarding agent of the youth sector in the food industry.