Artificial intelligence, big data, and blockchain in food safety-Reference-Cited by-同舟云学术

Artificial intelligence, big data, and blockchain in food safety

Published:2021-11-18 Issue:1 Volume:18 Page:1-14
ISSN:1556-3758
Container-title:International Journal of Food Engineering
language:en
Short-container-title:

Author:

Zhou Qinqin¹^ORCID,Zhang Hao²,Wang Suya¹

Affiliation:

1. College of Food Science and Engineering, Nanjing University of Finance and Economics , Nanjing 210023 , China

2. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China

Abstract

Abstract Food safety plays an essential role in our daily lives, and it becomes serious with the development of worldwide trade. To tackle the food safety issues, many advanced technologies have been developed to monitor the process of the food industry (FI) to ensure food safety, including the process of food production, processing, transporting, storage, and retailing. These technologies are often referred to as artificial intelligence (AI), big data, and blockchain, which have been widely applied in many research areas. In this review, we introduce these technologies and their applications in the food safety domain. Firstly, basic concepts of these technologies are presented. Then, applications for food safety from a data perspective based on these technologies are analyzed. Finally, future challenges of the applications of AI, big data, and blockchain are discussed.

Publisher

Walter de Gruyter GmbH

Subject

Engineering (miscellaneous),Food Science,Biotechnology

Link

https://www.degruyter.com/document/doi/10.1515/ijfe-2021-0299/pdf

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