Author(s)

Chengdong Lin, Junwei Lin, Peng GAO, Shenhang Li, Huihui Wang, Lei LIU

Corresponding Author

Lei LIU

ABSTRACT

With the advancement of our country's computerization process and the widespread application of cloud computing technology, the establishment of an agricultural enterprise management information service platform can integrate agricultural information resources and promote agricultural product transactions. The rapid development of the internet and information technology has increased the productivity and information consumption of many people. In this information age, websites are showing a trend of geometric growth, and users can easily publish and access various information. This article mainly introduces Page Rank algorithm and K-step algorithm. This paper uses cloud computing to study the construction of agricultural economic management information service platform, and establishes a potential mathematical model. The model is solved by Page Rank algorithm and K-step algorithm, and the status of the agricultural economic management information service platform is studied, and the model is revised using historical data to improve the accuracy of the evaluation of the agricultural economic management information service platform. The experimental results of this paper show that the Page Rank algorithm and the K-step algorithm make the research efficiency of the agricultural economic management information service platform 13%, and reduce the false alarm rate and the false alarm rate. Finally, by comparing cloud computing business analysis and LZ0 data compression analysis, the system explains the impact of cloud computing on the construction of agricultural economic management information service platform.

KEYWORDS

Cloud computing, Agricultural economic management, Page rank algorithm, K-step algorithm