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Information technology has become the most critical technical factor to promote economic development and social progress. With the application of biotechnology and information technology in agriculture to deepen modern agriculture, information agriculture will become more important. It is the basic requirement of building a well-off society in an all-round way and the basic content of agricultural modernization to transform traditional agriculture with modern information technology and combine information technology with traditional agriculture. This paper designs a modern agricultural information service platform, which combines computer network middleware with component technology. This project uses B/S structure, Java as programming language, Struts as development framework, Oraci 9i as background database. In recent years, many achievements have been made in cloud based information platform construction and cloud service models. It has the feasibility of building rural information service platform to implement agricultural cloud computing; cloud computing technology is developed from distributed processing, grid computing and parallel processing technology. The strong support of the national policy environment, especially the weak social and economic conditions in rural areas, cloud service model of high efficiency, low cost, flexibility and other advantages, has become a powerful driving force for agriculture and rural construction. Information service cloud platform.

With the Continuous Improvement of Medical Information, the Continuous Development of Image Processing Technology and the Continuous Upgrading of Hospital Image Acquisition Equipment, Medical Image Detection Has Become More and More Reliable and Effective, Becoming an Important Basis for Doctors’ Diagnosis. Now Large Hospitals Use the Combination of Radiology Information Management System and Image Archiving and Communication System to Store and Access Patients’ Images. with the Establishment of Regional Image Sharing and Cooperation Platform, the Online - Near Line - Offline Storage Strategy Adopted by the Traditional Image Archiving and Communication System Can No Longer Meet the Needs of Mass Image Data Storage. in the Retrieval of Mass Image Data, the Relational Database Used by the Image Archiving and Communication System is Inefficient in Reading the Image on the Scale of Mass Data, and the Existing Image the Archive and Communication System Lacks Complete Data Backup and Disaster Recovery Scheme. This Paper Analyses the Feasibility, Advantages and Problems to Be Solved of Using Hdfs to Store Massive Medical Image Files, and Studies How to Realize the Function of Precise Access and Range Access Provided by Pacs Efficiently in Hadoop.