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To improve the low picking quality of traditional tea-picking machine, a cutter control method based on machine vision is proposed. First, a low complexity calibration method for camera parameters is designed. Second, the cutter is located by an indirect location method. Then, R、G and B components are obtained from the tea image, and a dynamic threshold and a color classification are used for recognizing the tea bud. In addition, tea bud areas of two designated areas are calculated, and the parameters of cutter action is acquired by the sum and differ of the two areas. Finally, the parameters are sent to the inferior machine and the inferior machine adjusts the cutter to the desired position. Experimental results show that the proposed method can locate the cutter and recognize the tea bud accurately, and achieve adjusting the cutter adaptively and the bud rate is more than 70%.