Abstract: Greenhouse is playing an increasingly important role in agricultural production by creating suitable planting conditions to effectively improve the utilization rate of agricultural resources. Greenhouse climate change is a highly coupled nonlinear process with multiple factors, which is easily affected by external climate environment interference, thereby affecting the stability of the entire control system. How to stably, efficiently and intelligently control the climate variables inside the greenhouse is a practical problem that urgently needs to be solved. This article summarizes the current research status of greenhouse environmental control methods at home and abroad, starting from four aspects such as fuzzy control, decoupling control, energy-saving control and neural network, it elaborates on the current application status and advantages and disadvantages of mainstream greenhouse intelligent control methods, and points out the problems of single environmental control factors, low energy utilization efficiency, and poor dynamic adjustment ability of control models. This paper puts forward some suggestions for future greenhouse environmental control, including system multivariable control, sustainability and energy-saving of control, optimization of control models, and integration of agronomy and environmental control, so as to provide reference and guidance for the healthy development and refined management of greenhouse agriculture.