Research On Building Big Data Based On IoT Smart Agriculture Platform

With the rapid development of science and technology,Internet of things has been applied in various fields.By applying Internet of things,agricultural field is heading to science-technological,convenient,and highly efficient directions.The thesis compares the contemporary situation of digital agriculture home and abroad and introduces the new trends in digital agriculture.Based upon the situation of agriculture in China,the thesis design a web-based digital agriculture platform to get in-time guidance from experts,to monitor the growing conditions of crops and to decrease cost.Through the platform,big data in agriculture can be acquired.Afterwards,the data is processed to provide referent statistic information to the Chinese agricultural big data.The platform in thesis is built upon B\S mode and certain technologies from Internet of things.It contains functions like log-in,registering,information-searching,presentation of historical data,and remote-controlling.In the log-in page,it is accessible by input user name and password.The platform contributes to highly efficient and convenient management by which the cost is decreased and the labors are freed.The thesis stresses on the software aspect which includes the following points.First,the client is designed on B\S mode.Second,the thesis analyzes and designs the remote controlling modular.Third,big data is analyzed and studied.Third,the corpus is built and restored.Remote controlling modular charges the drip irrigation and lighting.The big data synthesize the statistics acquired.The corpus adopts SQL SERVER.The thesis generally achieves functions of digital agriculture,such as,remote controlling,in-time monitoring,data restoring,data analyzing.It gains the expected result and passes the testing.