Open AccessResearch on the Quality Supervision System of Agricultural Product Based on Big Data
Author(s) -
Yitang Zeng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1621/1/012100
Subject(s) - quality (philosophy) , agriculture , product (mathematics) , big data , business , mode (computer interface) , environmental economics , computer science , economics , philosophy , operating system , ecology , geometry , mathematics , epistemology , biology
The issue of agricultural product safety is important for the economy and the people’s living in our country. It is necessary to build a quality supervision system to strengthen the quality supervision and improve the quality for agricultural products. This paper systematically analyzes the role of big data in the quality supervision system of agricultural products and its innovative driving mechanism for operation mode. It contains the design of the construction of quality supervision system for agricultural products based on big data and the quality supervision of agricultural products operation mode. It proposes measures to strengthen the construction of quality supervision system of agricultural product based on big data.