How Can AI Help Improve Food Safety?
Chenhao Qian, Sarah I. Murphy, Renato H. Orsi, Martin Wiedmann
Annual Review of Food Science and Technology
Abstract
With advances in artificial intelligence (AI) technologies, the development and implementation of digital food systems are becoming increasingly possible. There is tremendous interest in using different AI applications, such as machine learning models, natural language processing, and computer vision to improve food safety. Possible AI applications are broad and include, but are not limited to, ( a) food safety risk prediction and monitoring as well as food safety optimization throughout the supply chain, ( b) improved public health systems (e.g., by providing early warning of outbreaks and source attribution), and ( c) detection, identification, and characterization of foodborne pathogens. However, AI technologies in food safety lag behind in commercial development because of obstacles su