Innovation of agricultural economic management in the process of constructing smart agriculture by big data

• Published in: Sustainable computing informatics and systems Vol. 31; p. 100579
• Main Authors: Su, Yan, Wang, Xianping
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.09.2021
• Subjects: Agricultural economic management; Big data; Data mining; Data visualization; Smart agriculture; Smart agriculture; Big data; Agricultural economic management; Data mining; Data visualization
• ISSN: 2210-5379
• DOI: 10.1016/j.suscom.2021.100579

•Provide correct guidance for the decision-making of agricultural producers and managers.•Provide guidance for consumers' consumption behavior.•The application of agricultural big data is of great help to the innovation of agricultural economic management.•Promote the construction and development of smart agriculture.•Researchers are required to have sufficient knowledge reserves in data mining. With the introduction and popularization of the concept of smart agriculture, smart agriculture has become the future direction of agricultural development, and how to promote the construction and development of smart agriculture has become the focus of research. At present, many achievements have been made in the systematic framework of smart agriculture, but the measures to promote the construction of smart agriculture from the aspect of agricultural economic management have not been studied in depth. In order to innovate agricultural economic management, promote the construction and development of smart agriculture, and realize the transformation of agriculture, this study proposes to apply big data in the field of agriculture, taking the egg price of a city's wholesale market as the research object, to analyze the influencing factors and price fluctuations of egg price, first mining and analyzing the relevant agricultural big data, and then visualizing the big data, so as to make it relevant scientific basis is provided for the innovative economic management of enterprises. The results show that agricultural big data provides a strong data support for agricultural economic management innovation and makes a great contribution to the construction of smart agriculture.