Next Generation Food Safety

Next Generation Food Safety: AI-Driven Mycotoxin Detection, Risk Analytics, and Quality Assurance in Ready-to-Eat Foods is an essential resource for food scientists, technologists, and supply chain professionals seeking to harness AI for safer, higher-quality RTE foods. As contamination and quality control challenges grow, this book addresses the need for advanced detection methods and predictive analytics. It showcases how machine learning, deep learning, computer vision, and IoT-based sensors are transforming food safety across diverse categories, from cereals and dairy to plant-based and fermented products. The volume covers foundational AI concepts, model validation, and real-world applications such as hyperspectral imaging for mycotoxin detection and supply chain risk assessment. It discusses current limitations, including data quality and regulatory hurdles, offering practical strategies for validation and deployment. Ethical considerations and cybersecurity are also addressed, ensuring comprehensive guidance for industry adoption.

Next Generation Food Safety: AI-Driven Mycotoxin Detection, Risk Analytics, and Quality Assurance in Ready-to-Eat Foods empowers stakeholders to develop innovative, cost-effective solutions that enhance safety, ensure compliance, and support sustainable food systems, meeting the evolving demands of modern food safety management.

• Explains advanced AI techniques for detecting contaminants in ready-to-eat foods
• Provides practical strategies for validating and deploying AI-based food safety systems
• Highlights real-world applications like hyperspectral imaging and supply chain risk management
• Addresses regulatory, ethical, and cybersecurity challenges in implementing AI for food safety
• Supports industry adoption of cost-effective, reliable, and sustainable food quality assurance solutions