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Two-level hybrid fusion model of a multi-sensor data system, which fits the system of intelligent control of greenhouse, is presented. At first, the local fusion model is given to fuse the information from different sensors which use to collect parameters of greenhouse environment; then the information is fused in improved Yager theory. Local and global fusion results will be stored in knowledge base of expert system. This hybrid algorithm is used to recognize the decision information of the greenhouse environment monitor system. Through collecting real-time information of the greenhouse environment parameters and fusing data, we can get precise results all kinds of parameters of greenhouse in time, and it is also able to carry out effective control whenever if the uncertainty probability is the highest.