Abstract
The paper deals with the problem of control of greenhouses inside climate based on the global variable prediction model. A mathematical model of greenhouse climate was established. Confronted with problem of greenhouse climate control existed in conventional controller such as control system is reactive, the adjustment of the actuators is not synchronized, control scheme is not optimal. In the method, inside the greenhouse temperature, humidity, radiation values, crop growth status, current state of actuators, external environment and the local weather conditions by data fusion as the - global variables. Then, the greenhouses of the future state of the environment short-term predictive value are obtained by mathematical model of neural network control. The simulation results testify the validity and reputability of the global optimization prediction control strategy for the climate control in the greenhouse, and the achievement has certain reference value for the development in intelligent control of the greenhouse micro-climate.
