Abstract: To improve agricultural information website service quality is one of the effective methods to solve the bottleneck in the development of agricultural informatization. Objective and scientific evaluation of website can enhance efficiency for users to access information, at the same time it can help web designers to optimize the website resource allocation by understanding the influence factor of service quality. The author proposed an evaluation model of agriculture information website information service quality, with reference to the principle and index design method of service quality management, using R clustering method to explore the descriptive index selection and optimization problem, so as to avoid the related and repeated index. Finally, the author took 40 tea informations net as the experimental object for data collection and analysis, in order to establish the regression model of service quality evaluation of agricultural information websites, drew a conclusion that the important factors influencing the quality of information service in the process of constructing information service system.