Tree species identification based on the fusion of bark and leaves

Author:

Zhao Yafeng, ,Gao Xuan,Hu Junfeng,Chen Zhen,

Abstract

<abstract> <p>For trees, leaves are often used for identification, but the shape of leaves changes greatly, bark will be another identifying feature. However, it is difficult to recognize by a single organ when there are intra class differences and inter class similarities between leaves or bark. So we fuse features of leaf and bark. Firstly, we collected 17 species of leaves and bark of trees through field shooting and web crawling. Then propose a method of combining convolution neural network (CNN) with cascade fusion, additive fusion algorithm, bilinear fusion and score level fusion. Finally, the features extracted from the leaves and bark are fused in the ReLu layer and Fully connected layer. The method was compared with single organ recognition, Support Vector Machines (SVM), and existing fusion methods, results show that the two organ fusion method proposed are better than the other recognition methods, and recognition accuracy is 87.86%. For similar trees, when it is impossible to accurately determine its species by a single organ, the fusion of two organs can effectively improve this situation.</p> </abstract>

Publisher

American Institute of Mathematical Sciences (AIMS)

Subject

Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modelling and Simulation,General Medicine

Reference32 articles.

1. P. Yuan, W. Li, S. Ren, H. Xu, Recognition for flower type and variety of chrysanthemum with convolutional neural network, Trans. Chin. Soc. Agric. Eng., 34 (2018), 152-158.

2. G. Xuan, Y. Zhao, Q. Xiong, Z. Chen, Identification of Tree Species Based on Transfer Learning, For. Eng., 35 (2019), 68-75.

3. X. Zhu, M. Zhu, H. Ren, Method of plant leaf recognition based on improved deep convolutional neural network, Cognit. Syst. Res., 52 (2018), 223-233.

4. H. Feng, M. Hu, Y. Yang, K. Xia, Tree Species Recognition Based on Overall Tree Image and Ensemble of Transfer Learning, Trans. Chin. Soc. Agric. Mach., 8 (2019), 235-279.

5. L. Bi, Plant species recognition based on leaf image algorithm, Acta Agric. Zhejiangensis, 29 (2017), 2142-2148.

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