Abstract
At present, the greenhouse irrigation control in Gansu and Xinjiang adopts manual control, which is time-consuming, laborious and wasteful of water resources. It is of great significance for local agricultural development to develop an economic, stable and efficient intelligent control system for greenhouse. This paper presents an intelligent identification control algorithm of grey prediction based on greenhouse, and establishes an intelligent identification control model of grey prediction based on greenhouse. The system collects soil moisture and air information, and uses the grey prediction algorithm to make effective use of irrigation water, so as to realize water saving. MATLAB is used for simulation. The simulation results show that: it can achieve the ability of intelligent identification and control of grey prediction of greenhouse, and has strong control ability. Through the grey prediction algorithm, the irrigation water can be effectively used, and then the water saving can be realized.
Published Version
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