Research on the application of big data in food safety supervision risk early warning

Autor: DU Lin, WEN Sheng-jun, YUAN Gang
Jazyk: English<br />Chinese
Rok vydání: 2022
Předmět:
Zdroj: Shipin yu jixie, Vol 38, Iss 11, Pp 82-85,124 (2022)
Druh dokumentu: article
ISSN: 1003-5788
DOI: 10.13652/j.spjx.1003.5788.2022.60069
Popis: As an important part of modern food safety governance system, food safety risk early warning fully embodies the scientific principle of "prevention first, risk management, whole process control and social co governance". This paper focuses on how to use effective data collection and data analysis strategies to achieve food safety risk early warning through monitoring, analysis, evaluation and other ways, so as to support government supervision with a more scientific and accurate food risk data management and evaluation system.
Databáze: Directory of Open Access Journals