Open Access
Issue
E3S Web Conf.
Volume 53, 2018
2018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
Article Number 03084
Number of page(s) 4
Section Environment Engineering, Environmental Safety and Detection
DOI https://doi.org/10.1051/e3sconf/20185303084
Published online 14 September 2018
  1. Marvin HJ, et-al. “Big data in food safety; an overview.” C R C Critical Reviews in Food Technology 57.11(2016): 2286-2295. [Google Scholar]
  2. Ahearn, Mary Clare, W. Armbruster, and R. Young. “Big Data's Potential to Improve Food Supply Chain Environmental Sustainability and Food Safety.” International Food & Agribusiness Management Review (2016). [Google Scholar]
  3. Wang, Jing, and H. Yue. “Food safety pre-warning system based on data mining for a sustainable food supply chain.” Food Control 73(2017): 223-229. [CrossRef] [Google Scholar]
  4. Cao Chunli, and Business School. “Research on Meat Food Security Early Warning Index System Based on Supply Chain.” Journal of Hunan University of Technology (2015). [Google Scholar]
  5. Ahearn, Mary Clare, W. Armbruster, and R. Young. “Big Data's Potential to Improve Food Supply Chain Environmental Sustainability and Food Safety.” International Food & Agribusiness Management Review (2016). [Google Scholar]
  6. Zage, David, K. Glass, and R. Colbaugh. “Improving supply chain security using big data.” IEEE International Conference on Intelligence and Security Informatics IEEE, (2013): 254-259. [Google Scholar]
  7. Zhao, S., and X. Yang. “Food safety risk assessment in whole food supply chain based on catastrophe model.” Advance Journal of Food Science & Technology 5.12(2013): 1557-1560. [CrossRef] [Google Scholar]
  8. Wang, Jing, and H. Yue. “Food safety pre-warning system based on data mining for a sustainable food supply chain.” Food Control 73(2017): 223-229. [CrossRef] [Google Scholar]
  9. Leblanc, Denyse I., et al. “A national produce supply chain database for food safety risk analysis.” Journal of Food Engineering 147(2015): 24-38. [CrossRef] [Google Scholar]

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