Research on storage architecture and method for big agricultural scientific data

To solve the problem of insufficient storage capacity and hard to manage for dispersed and massive agricultural data in traditional database schema, the peper studied the technology of distributed computing and storage under the framework of Hadoop, and the method of adjacent marginalized storage based on Hadoop and the technology of hybrid index distribution and proposed retrieval. Test and practice results showed that the system established with this method, could provide a technical direction for efficient organization and management of massive agricultural data.