Abstarct: Greenhouse system is MIMO and also has interaction. The given models are not fully adapted to the Real system. In our model in this paper, Greenhouse temperature and moisture are considered as state variables, ventilation rate and capacity of converting water to vapor of the fog system both as system inputs, and finally sun light, outer temperature and moisture of Greenhouse are here considered as system disturbances. In this thesis, we have used neuro-fuzzy method in order to get the appropriate response and minimum fluctuation. To show the power and accuracy of our designed controller, we compared it to the proposed Adaptive and feedback linerization controller. And what we get after the comparison is higher speed and more of accuracy of neuro-fuzzy controller.