1. Big Data in food safety- A review
- Author
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Cangyu Jin, Lukas J. van den Heuvel, Jiehong Zhou, Yamine Bouzembrak, Hans J.P. Marvin, Liu Ningjing, Wouter Hoenderdaal, Leonieke M. van den Bulk, Qiao Liang, and Anand Gavai
- Subjects
0301 basic medicine ,Team Agrochains ,Novel Foods & Agrochains ,BU Toxicologie ,Computer science ,Supply chain ,Big data ,Novel Foods & Agroketens ,Applied Microbiology and Biotechnology ,03 medical and health sciences ,0404 agricultural biotechnology ,Knowledge extraction ,Food supply ,Life Science ,Social media ,BU Toxicology, Novel Foods & Agrochains ,030109 nutrition & dietetics ,Data collection ,business.industry ,BU Toxicology ,04 agricultural and veterinary sciences ,Food safety ,040401 food science ,Data science ,BU Toxicologie, Novel Foods & Agroketens ,Internet of Things ,business ,Food Science - Abstract
The massive rise of Big Data generated from smartphones, social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. Big Data technologies are being developed and implemented in the food supply chain that gather and analyse these data. Such technologies demand new approaches in data collection, storage, processing and knowledge extraction. In this article, an overview of the recent developments in Big Data applications in food safety are presented. This review shows that the use of Big Data in food safety remains in its infancy but it is influencing the entire food supply chain. Big Data analysis is used to provide predictive insights in several steps in the food supply chain, support supply chain actors in taking real time decisions, and design the monitoring and sampling strategies. Lastly, the main research challenges that require research efforts are introduced.
- Published
- 2020