Analysis of the Development Trend and Scheme of Agricultural Electrification Intelligence Based on Big Data Mining and OLAP Tool Analysis Algorithm

Author:

Chen Chao1,Fu Jun1,Zou Li23ORCID,Liu Yi23,Sun Yakun3

Affiliation:

1. College of Biological and Agricultural Engineering, Jilin University, Changchun 130000, Jilin, China

2. College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, Shandong, China

3. Smart Grid Research Institute of Shandong University of Technology, Zibo 255000, Shandong, China

Abstract

To transform from a large agricultural country to a strong agricultural country, China must take the road of modernized, automated, and information-based agriculture. With the advantages of high efficiency, low cost, flexibility, stability, and reliability, electrified production is the material and technical basis for agricultural mechanization, automation, industrialization, and management modernization. Big data mining and OLAP tool analysis algorithm has powerful data processing ability and occupies a very important part in various fields. This article analyzes the current situation of agricultural electrification development, electrification development dynamics, and electrification application scope based on big data mining and OLAP tool analysis algorithm, and finally comes up with several suggestions for agricultural electrification development.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Reference20 articles.

1. Discussion on agricultural informatization in the era of big data;X. Zhu;International Journal of Computational and Engineering,2022

2. The need for agricultural productive uses in the national electrification plan of sub-Saharan African countries—a call to action for Ethiopia;V. H. S. Charles;Environmental Research: Infrastructure and Sustainability,2022

3. Agricultural Disaster Risk Management and Capability Assessment Using Big Data Analytics

4. Research on agricultural information collection and management system based on big data;Li;Scientific Journal of Intelligent Systems Research,2022

5. Evaluation and promotion strategy of intelligent agricultural production efficiency based on DEA model;D. Yue;Scientific Journal of Economics and Management Research,2022

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