Research on the construction of agricultural management information service platformbased on cloud computing
基于云计算的农业管理信息服务平台的建设研究

摘要

随着我国计算机化进程的推进和云计算技术的广泛应用，建立农业企业管理信息服务平台可以整合农业信息资源，促进农产品交易。本文主要介绍了Page Rank算法和K步长算法。本文利用云计算对农业百草管理信息服务平台的建设进行研究，建立了潜在的数学模型。模型采用Page Rank算法和K步长算法求解，并对农经管理信息服务平台状况进行研究，并使用历史数据对模型进行修订，提高农业百草管理信息服务平台研究状况评估的准确性。本文实验结果表明，Page Rank算法和K步长算法使得农业百草管理信息服务平台研究效率了13%，并且降低误报率和错报率。最后，通过对比云计算的商情分析和LZ0数据压缩分析，系统说明了云计算对农业百草管理信息服务平台的建设研究的影响。

Abstract

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.