Advances in Food Science, Processing and Technology

Artificial Intelligence in Food Quality Control

Artificial Intelligence (AI) is playing an increasingly vital role in food quality assurance, offering tools for real-time monitoring, defect detection, and predictive analytics. Machine learning algorithms analyze vast datasets from visual inspections, spectroscopy, and sensor readings to detect contaminants, identify spoilage, or verify product consistency with high precision. Computer vision systems, integrated with AI, can evaluate food color, shape, and surface defects faster and more accurately than human inspectors. In production lines, AI enables adaptive process control, adjusting parameters to maintain quality standards and reduce variability. Predictive models forecast shelf life or microbial growth based on environmental data, aiding decision-making in logistics and storage. Natural language processing also aids in monitoring compliance with food safety regulations across documentation. By reducing human error, minimizing waste, and ensuring product integrity, AI enhances consumer trust and operational efficiency. As data becomes more integral to food systems, AI continues to drive a smarter, safer, and more responsive food industry.