TY - JOUR
T1 - Big Data in food safety - A review
AU - Jin, Cangyu
AU - Bouzembrak, Yamine
AU - Zhou, Jiehong
AU - Liang, Qiao
AU - van den Bulk, Leonieke M.
AU - Gavai, Anand
AU - Liu, Ningjing
AU - van den Heuvel, Lukas J.
AU - Hoenderdaal, Wouter
AU - Marvin, Hans J.P.
N1 - Funding Information:
The authors gratefully acknowledge financial support from China Scholarship Council (File No.201906320161). This research was conducted under the Knowledge Base (KB) programme (KB-23: Healthy and Safe Food for Healthy lives) financed by the Dutch Ministry of Agriculture, Nature and Food Quality (LNV).
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85097152903&partnerID=8YFLogxK
U2 - 10.1016/j.cofs.2020.11.006
DO - 10.1016/j.cofs.2020.11.006
M3 - Review article
VL - 36
SP - 24
EP - 32
JO - Current Opinion in Food Science
JF - Current Opinion in Food Science
SN - 2214-7993
ER -