Plant Species Recognition Based on Deep Convolutional Neural Networks

A number of the existing leaf based plan leaf recognition methods rely on the hand-crafted features of color, texture and shape, and other various features. One drawback of these methods is poor convergence and generalization. To overcome this problem, a deep convolutional neural network (DCNN) is applied to plant species recognition. The proposed method is different from the existing feature extraction based recognition approaches. The high-level features can be extracted by DCNN. The experimental results clearly demonstrate the effectiveness and efficiency of the proposed model in leaf identification in comparison with current state-of-the-art.

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