A smart irrigation decision support system based on cloud
Feilin Zhu · 2014
ABSTRACT: In view of the fact that irrigation prediction is based on farmland scale, and there is rare real-time prediction, the paper designed an irrigation area decision support system based on cloud server, and gave full descriptions of the system structure, working principle, hardware configuration, and software program compiling. The system integrates into technology such as information automatic acquisition, wireless data transferring, analysis, decision-making and remote control, and carries out calculation, analysis and decision to predict the irrigation. In this system, the data collected from farmland are transferred by GPRS, which enlarges the scale of data transmission. Moreover, the data of weather forecast are gathered from web in real time, which is intended to predict evapotranspiration (ET0) automatically. The system was proved to be low-paid and improve the agricultural water use efficiency remarkably, which is worthy of being used abroad.