Role of Big Data Based on Information System in Management of Agricultural Economy

Abstract

Agriculture is the foundation of the national economy, and Big Data (BD) and cloud computing technology play a vital role in the economic development of society. With the continuous advancement of social informatization, how to use efficient BD technology to obtain massive economic information and conduct reliable analysis and processing has become an important development direction in the current management of agricultural economy field. In order to solve the problems of low collection efficiency, incomplete information sources, insufficient coverage of information elements to determine economic trends, insufficient technical means to obtain and process information, and inability to cope with complex and diverse management of agricultural economy situations in traditional management of agricultural economy processes, this article analyzed the work structure and operational process of information processing in traditional management of agricultural economy processes. Starting from the aspects of information collection, processing, storage, and analysis, this paper summarized the shortcomings of information processing capabilities in traditional management of agricultural economy processes, and tentatively introduced BD technology to optimize the performance of traditional information systems. Finally, to verify the reliability of the optimized agricultural economic information management system with the introduction of BD technology, comparative experiments were conducted on the practical application effects. Based on experimental results, it was shown that optimizing agricultural information management systems required a shorter time for marketing decisions compared to traditional agricultural information management systems. This article evaluated the simplicity of the implementation plan (A), the rationality of resource allocation (B), the effectiveness of the plan practice (C), and the ability to respond to sudden risks (D), with an average improvement of about 10.6%. The optimized agricultural economic information management system in this article had richer data collection methods compared to traditional agricultural economic information management systems. The application of BD technology improved the work efficiency and processing speed of the information management system, which could greatly shorten the time required for information processing under cost control conditions and promote the intelligence level of agricultural economic information management.