Open AccessAnalysis of the status quo and trend of agricultural economic management under the background of big data
Author(s) -
Kun-Fa Lee,
Chen Hui-ni,
Li Y
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 - 10.1088/1742-6596/1437/1/012051
Subject(s) - status quo , big data , agriculture , china , agricultural productivity , production (economics) , business , agricultural economics , natural resource economics , economics , computer science , geography , archaeology , market economy , macroeconomics , operating system
With the global economic network, the collection and processing of big data information data is more and more important, and the development trend of big data makes appropriate adjustments and choices in the management of agricultural economy. The use of big data in the combination of agricultural economic management environment has increased the information value of agricultural economic management. On the basis of science, big data as a development economic forecast not only provides a powerful guiding role for agricultural production, but also provides an effective basis for the management and decision-making of agricultural production. Based on the analysis of the development status of big data agricultural economic management, this paper provides a new direction for the innovation and development of China’s agricultural economic management.