Artificial Intelligence and Big Data in food safety
The majority of Big Data applications requires dealing with large volumes, diverse sources and forms of data, ranging from highly structured to unstructured data, which is due to the rise in the sharing and availability of data. To deal with this complexity, new tools are needed to automatically extract process, integrate, visualize and organize this data into both human and machine readable summaries. Wageningen Food Safety Research is exploring the application of Artificial intelligence (AI) and Big Data technologies in food safety to keep and make food safe. Progress in these areas will allow us to greatly improve our knowledge in AI and Big Data, and will help us to utilise better the available data for the generation of knowledge.
Applications
Publicaties
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Determination and Metrics for Emerging Risks Identification DEMETER: Final Report
EFSA Supporting Publications (2020), Volume: 17, Issue: 7 - ISSN 2397-8325 -
Expert-driven methodology to assess and predict the effects of drivers of change on vulnerabilities in a food supply chain: Aquaculture of Atlantic salmon in Norway as a showcase
Trends in Food Science and Technology (2020), Volume: 103 - ISSN 0924-2244 - p. 49-56. -
Internet of Things in food safety: Literature review and a bibliometric analysis
Trends in Food Science and Technology (2019), Volume: 94 - ISSN 0924-2244 - p. 54-64. -
Effective sampling strategy to detect food and feed contamination : Herbs and spices case
Food Control (2018), Volume: 83 - ISSN 0956-7135 - p. 28-37.