According to the requirement of environment control of rabbit house with nonlinear and large lag, a regulation model of rabbit house environment was presented based on fuzzy reasoning, which integrated various environmental parameters of rabbit house. The error of environmental parameters, which included the temperature, humidity, carbon dioxide concentration and ammonia concentration, rabbit growth stage and season were taken as input of inference engine, and the Gauss type membership function was used to fuzzify the environmental parameters; totally 12 kinds of fuzzy control rules were set according to spring, autumn, summer and winter separately. The wet curtainfan control system and heat recovery system would be controlled by the fuzzy control rules to achieve the precise control of rabbit house environment. In order to verify the validity of the environmental regulation model of rabbit house, experiments were conducted in a rabbit house in Shandong Province from May to September 2018, and December 2018 to March 2019. The experimental results showed that the environment parameters of rabbit house can be controlled within the suitable range of rabbit growth and development by using the regulation model of rabbit house environment based on fuzzy reasoning, so as to ensure the growth and development of rabbits.