This book explores the role of artificial intelligence in transforming food safety systems and quality control processes in modern food industries.
It provides a comprehensive overview of machine learning, computer vision, and data-driven methodologies applied in food inspection, contamination detection, and quality assurance. The book also discusses the integration of automated systems in food production environments to improve efficiency and reliability.
Through practical examples and case-based analysis, the book highlights how AI technologies can enhance food safety monitoring and reduce risks associated with contamination and human error.
This work serves as a valuable resource for researchers, professionals, and institutions engaged in food science, technology, and safety management.