Big data in food safety: An overview

被引：110

作者：

Marvin, Hans J. P. ^{[1
]}

Janssen, Esmee M. ^{[1
]}

Bouzembrak, Yamine ^{[1
]}

Hendriksen, Peter J. M. ^{[1
]}

Staats, Martijn ^{[1
]}

机构：

[1] RIKILT Wageningen Univ & Res, Akkermaalsbos 2, NL-6708 WB Wageningen, Netherlands

来源：

CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION | 2017年 / 57卷 / 11期

关键词：

Big data; database; food safety; new technologies; NETWORK ANALYSIS; SYSTEM; RECOMMENDATION; OPPORTUNITIES; RECOGNITION; TOXICOLOGY; GENES; FRAUD; RISK;

D O I：

10.1080/10408398.2016.1257481

中图分类号：

TS2 [食品工业];

学科分类号：

0832 ;

摘要：

Technology is now being developed that is able to handle vast amounts of structured and unstructured data from diverse sources and origins. These technologies are often referred to as big data, and open new areas of research and applications that will have an increasing impact in all sectors of our society. In this paper we assessed to which extent big data is being applied in the food safety domain and identified several promising trends. In several parts of the world, governments stimulate the publication on internet of all data generated in public funded research projects. This policy opens new opportunities for stakeholders dealing with food safety to address issues which were not possible before. Application of mobile phones as detection devices for food safety and the use of social media as early warning of food safety problems are a few examples of the new developments that are possible due to big data.

引用

页码：2286 / 2295

页数：10

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