大数据在智慧食品安全中的应用研究

Yelin Zhong, Caihong He, Jiaqi Tang
{"title":"大数据在智慧食品安全中的应用研究","authors":"Yelin Zhong, Caihong He, Jiaqi Tang","doi":"10.1109/ICDSBA51020.2020.00017","DOIUrl":null,"url":null,"abstract":"Food safety is not only related to the vital interests of the public, but also related to the long-term stability of the country. First, the source and characteristics of big data in the food industry are combed, in this paper. Then, the pretreatment process of big data for smart food safety is described, and its parallel computing model is introduced. At last, the application contexts of smart food safety are provided.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Application of Big Data in Smart Food Safety\",\"authors\":\"Yelin Zhong, Caihong He, Jiaqi Tang\",\"doi\":\"10.1109/ICDSBA51020.2020.00017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Food safety is not only related to the vital interests of the public, but also related to the long-term stability of the country. First, the source and characteristics of big data in the food industry are combed, in this paper. Then, the pretreatment process of big data for smart food safety is described, and its parallel computing model is introduced. At last, the application contexts of smart food safety are provided.\",\"PeriodicalId\":354742,\"journal\":{\"name\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDSBA51020.2020.00017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDSBA51020.2020.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

食品安全不仅关系到公众的切身利益,也关系到国家的长治久安。首先,本文梳理了食品行业大数据的来源和特点。然后,描述了智能食品安全大数据预处理过程,并介绍了其并行计算模型。最后,给出了智能食品安全的应用背景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the Application of Big Data in Smart Food Safety
Food safety is not only related to the vital interests of the public, but also related to the long-term stability of the country. First, the source and characteristics of big data in the food industry are combed, in this paper. Then, the pretreatment process of big data for smart food safety is described, and its parallel computing model is introduced. At last, the application contexts of smart food safety are provided.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信