Scientific Development Research

With the advancement of computerisation in China and the widespread use of cloud computing technology, the establishment of an agribusiness management information service platform can integrate agricultural information resources and facilitate the trading of agricultural products. This paper focuses on the Page Rank algorithm and the K-step algorithm. This paper investigates the construction of an agricultural and economic management information service platform using cloud computing and establishes a potential mathematical model. The model is solved using the Page Rank algorithm and the K-step algorithm, and the state of the agricultural economic management information service platform is studied, and the model is revised using historical data to improve the accuracy of the assessment of the state of the agricultural economic management information service platform study. The experimental results of this paper show that the Page Rank algorithm and the K-step algorithm make the research of the agricultural economic management information service platform 13% more efficient and reduce the rate of false positives and wrong positives. Finally, the impact of cloud computing on the construction research of the agricultural economic management information service platform is systematically illustrated by comparing the business intelligence analysis and LZ0 data compression analysis of cloud computing.

Cloud computing; Agricultural economics management; Page Rank algorithm; K-step algorithm