Research on cloud storage technologies of typical crop growth environment monitoring data
Yuansheng Wang, Huarui Wu, Lei Luo, Weihong Ma, Kun Liu
1Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
2Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
The typical crop is an important part of regional economy, using of information technology tools to enhance the fine management of typical crop, improve the efficiency and level of agricultural production will play an important role to promote regional economic development. The Internet of things technologies can provide conditions for precise management of crop, but it will also lead to new technical application difficult problems, focusing on the storage and processing problem of the ”real time, high frequency, mass, rapid growth” monitoring data of the crop growth environment, this paper put forward a network management and scheduling method for massive data based cloud storage technologies to solve the large data storage and concurrently access bottlenecks of the traditional relational storage, and provided good technical conditions for the typical crop production management.