Abstract: Summer temperature humid control in greenhouse is studied by applying genetic fuzzy neural network. Meanwhile, in order to overcome two shortcomings——slow convergence and partial extreme value, improved genetic algorithm is applied to train the parameters of network. Therefore, fuzzy logic, neural network and genetic algorithm are combined organically and applied to summer temperature humid control in greenhouse.