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In the baking process of green tea, material exchange and heat exchange complex, temperature and humidity changes and strong coupling, equipment performance variable problem, we propose a compensation based on improved fuzzy decoupling control method. First, the fuzzy controller on the temperature and humidity control, in order to suppress parameter drift, genetic algorithm fuzzy membership for online optimization; while introducing neuron learning algorithm to achieve the decoupling of temperature and humidity control volume relationship of learning, the control amount of compensation. Thus ensuring improved fuzzy control algorithm to calculate the amount of mutually independent. The results showed that three kinds of Green Tea samples treated by this method, the average increase of 15.7% tertiary alcohol ingredient orange flower, alpha farnesene component increased an average of 21.4%, linalool increased an average of 13.4% components.