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Today the huge demand for high-quality crops allowed the research on the improvement of crop quality and cultivation techniques to give increasing attention. Through effective variety selection and optimal control of the growth process, maintaining the long-term best growth environment is an important means to improve crop quality and yield. Due to the quality of the wheat crop ecological variability and complexity of the formation process, the effective forecasting and management under different conditions of wheat growth process becomes quite difficult. Aiming to the characteristics, such as nonlinear, time-varying, strong correlation, time-delay and more uncertainty, between the crop quality and various influencing factors, a modeling method of nonlinear dynamic multi-input multi-output system based on PLS and TS model is proposed. On this basis, a Generalized Predictive Controller (GPC) under implicit variable space is designed, which is provide a scientific basis for the realization of effective crop forecasting and control, to increase production, improve quality , regulating the growth cycle and increase economic efficiency purposes. The test results show that this method can effectively track the signal and meet the system demand.