A storage architecture for high-throughput crop breeding data based on improved blockchain technology

文献类型： 外文期刊

第一作者： Zhang, Qi

作者： Zhang, Qi;Su, Zhong-bin;Fang, Jun-long;Zhang, Qi;Han, Yan-yun;Liu, Zhong-qiang;Wang, Kai-yi;Zhang, Qi;Han, Yan-yun;Liu, Zhong-qiang;Wang, Kai-yi

作者机构：

关键词： Multi Chains; Breeding data; Blockchain; Proxy encryption; Storage architecture

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：5.565； 五年影响因子：5.494 ）

ISSN： 0168-1699

年卷期： 2020 年 173 卷

页码：

收录情况： SCI

摘要： This paper presents an architecture to store high-throughput crop breeding data efficiently and safely, by using improved blockchain technology in a breeding information management system, Golden Seed Breeding Cloud Platform (GSBCP). The storage architecture was devised to ensure (a) efficient and safe storage of breeding data, (b) easy and quick acquisition of breeding data from the dimensions of crop planting location and breeding process, (c) easy extension of the architecture to improve system performance as data volume grows, and (d) low cost of system hardware. This storage architecture uses a light blockchain to save key breeding data. Different types of blockchains are used to store different types of breeding data. Proxy encryption technology is used to guarantee data security. To strike a balance between data security and system performance, important data are assigned a higher level of security. This storage architecture can significantly improve the efficiency of GSBCP when the amount of data is large, especially when breeders query breeding data. In addition, increasing the number of blockchain nodes can greatly improve the concurrency of the system.

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