AI for Food Safety
Vinod Varma Vegesna, Senthil Murugan Prabhakaran, Pawan Whig
Abstract
Artificial intelligence (AI) is revolutionizing the field of food safety by providing advanced tools and techniques to ensure the integrity and safety of the food supply chain. This chapter delves into the applications of AI in food safety, highlighting how AI technologies, including machine learning, computer vision, and predictive analytics, are employed to detect contaminants, prevent foodborne illnesses, and ensure compliance with safety standards. The authors explore various AI-driven approaches for real-time monitoring, data analysis, and risk assessment within the food industry. Case studies and examples from real-world implementations demonstrate the effectiveness of AI in identifying potential hazards and improving overall food safety protocols. By integrating AI into food safety practices, this chapter illustrates the transformative potential of intelligent systems in safeguarding public health and enhancing the reliability of food products.