Applying Big Data to Food Safety Risk Monitoring

Software Engineering and Information Technology, pp. 181-184 (2016) No AccessApplying Big Data to Food Safety Risk MonitoringX.H. Kuang, D. Tang, and Z.X. ZhouX.H. KuangHunan Police Academy, Changsha, ChinaKey Laboratory of Network Crime Investigation, Colleges of Hunan Province, Changsha, China, D. TangHunan Police Academy, Changsha, ChinaKey Laboratory of Network Crime Investigation, Colleges of Hunan Province, Changsha, China, and Z.X. ZhouCentral University of Finance and Economics, Beijing, Chinahttps://doi.org/10.1142/9789814740104_0036Cited by:0 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Big Data has enabled businesses to monitor large amounts of data and extract pertinent patterns necessary for decision making. Food safety on the other hand, has necessitated the deployment of quality control (QC) systems like the hazard analysis and critical control points (HACCP) framework to reduce the amount of harmful pathogens that consumers are exposed to through food. However, the complexity of adapting Big Data to the food safety concern has exposed the lack of proper control of variables that dictate whether practitioners are in agreement on which aspects of food processing and supply chain management are most important to the control process. This research will propose a generic framework, which adapts Big Data to food safety risk monitoring systems more efficiently. Keywords: Big DataFood safetyRisk monitoringGeneric framework FiguresReferencesRelatedDetails Software Engineering and Information TechnologyMetrics History KeywordsBig DataFood safetyRisk monitoringGeneric frameworkPDF download