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Through graphic segmentation target graphics graphics processing technology from the original fruit collected in the construction of fruit pattern recognition model by neural network algorithm genetic algorithm optimization, to complete the identification of fruit pattern. The use of image recognition technology to identify the number and location of manipulator in the current view, using the genetic algorithm running path of the manipulator is optimized, and compared the results with the results of random path planning and path planning manual. The results show that with the samples of intact fruits decreased fruit identification recognition model of the accuracy rate declined, with only 60% full fruit percentage of the sample identification model of this study still maintain a high recognition accuracy rate. Compared with random path planning and artificial path planning, the cost of running path of robot manipulator obtained by genetic algorithm is lower. And with the increase of the number of fruits, the advantage of the genetic algorithm for the path cost of the manipulator is more prominent.