Aiming at the problems of too many detection and routing nodes and large environmental fluctuation in the large-area application of greenhouse environment monitoring and control system, the greenhouse environment monitoring and control system was designed by using an inspection vehicle and LoRa remote transmission network. The number of nodes was reduced by combining fixed-point and mobile acquisition. When the system adjusts the environment, it first determines the growth stage of crops, and then dynamically adjusts and controls them by the Fuzzy-PID algorithm, so that the environment is always maintained in the most suitable state, thereby enabling high quality and high yield of crops. To verify the superiority of the system, taking the temperature control as an example, the simulation model is constructed by MATLAB. Compared with the traditional PID control, the overshoot is reduced by 15.3% and the adjustment time is reduced by 21%. The field experiment results show that compared with the switch control and the traditional PID control, the system has higher control accuracy and smaller environmental fluctuation, which can effectively keep the environment in the shed stable.