{"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}
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.
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