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For an agricultural country with a large area of farmland and little water for irrigation, efficient water use affects the steady development of agriculture.Aiming at this phenomenon, an irrigation strategy based on fuzzy RBF neural network is proposed, which USES the output function of the hidden layer to form a basis to approximate the objective function, predicts the irrigation water demand, and calculates the specific irrigation time by fuzzy control.The meteorological conditions, soil conditions and crop characteristics of lihe 328 corn planted in xinzhou, Shanxi Province were analyzed, irrigation time can be calculated according to different environments..The efficient and real-time irrigation strategy can not only improve the utilization rate of irrigation water, but also lay a foundation for the development of field irrigation and increase the yield of crops.