Design And Implementation Of Intelligent Monitoring System For Crop Growth Environmental Parameters Based On Android Operation System

In agriculture production aspect,the accurate acquisition of various environmental parameters,as the monitoring and controlling crop growth status with the combination of mobile phone App has become a demand and trend.Similarly,in order to promote crops growth,also the trend analysis of the environment parameters were implemented,and then data mining,trend prediction makes crop cultivation more precise,and also will promote crop yield quality.The main work of this thesis is as follows:1)The integration of mobile phone terminal and agricultural monitoring system make the environmental parameters display in the form of polygonal line in the mobile phone.From mobile terminal,farmers through the WiFi connection at any time can view the crop growth status and corresponding environment parameters.2)building database server.It is supported by the SQL server database and Apache Mina communication program.The improvement of the performance is better in the mobile terminal by connecting the WiFi,which can meet the needs of server and mobile terminal data interaction.3)This system uses the embedded ARM development board to realize the remote control operation,and at the same time,to comply the system function.Among the techniques used are Embedded GoAhead Web server,CGI programming,DC motor driver development,respectively.4)Data analysis.The data of the environmental parameters in the database have been fitted.The results show that carbon dioxide,air humidity,air temperature and light intensity conform to the form trigonometric function model,and that soil salinity and soil moisture conform to polynomial function with the highest number of 7,and that soil temperature conform to polynomial function or Gauss function model,and these made a foundation for Maize dynamic trend prediction based on environmental parameters.