Research On Early Warning Platform For Environmental Data Storage And Growth Of Crops,Based On Big Data Technology

With the continuous progress of agricultural modernization especially all kinds of sensors in agriculture, the Internet of Things covers a wide range of agriculture.China's agricultural data collection is increasing and the accurate monitoring data produces continuously.however,we can not integrate and store the data efficiently,because of the characteristics of acquisition nodes,relatively large cross and high dispersion. All of these will lead to the loss of high-quality data and the failure of playing a more effective value of agricultural production.How to store these large-scale data has become the current difficulty needed to solve,as well as how to guide agricultural production by the analysis of the data.The advent of the era of big data provides a reference for massive data storage and analysis. In this paper, the author uses big data technology, focuses on the feasibility of integrated storage of crops growth environment data and the early warning model of crops growth based on the data of crops. The unified storage platform can integrate the highly dispersed data into one,which provides a good data base for agricultural research. Position analysis and early warning of crop growth is on the basis of unified storage platform, using existing data analysis of crop growth status, growth situation of crops for the future a period of time makes the judgment and warning, to provide reference information for the management of the crop.On the basis of a large number of research and demonstration of today's big data technology,the paper eventually uses HBase as storage framework,with Hadoop, Storm and other massive data computing model,sets up a stable and efficient early warning platform for environmental data storage and growth of crops,based on big data technology.