Convolutional Neural Network Applied to Tree Species Identification Based on Leaf Images
Author:
Affiliation:
1. Graduate School of Life and Environmental Sciences, Kyoto Prefectural University, 1-5 Shimogamo-hangi-cho, Sakyo-ku, Kyoto 606-8522, Japan
Publisher
Japan Society of Forest Planning
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jfp/26/0/26_2020.001/_pdf
Reference42 articles.
1. Adachi, Y., Taguchi, M. and Hirokawa, S. (2016) Microstructure recognition by deep learning. Tetsu-to-hagané 102 : 722–729 (in Japanese with English abstract)
2. BIOME (2017) https://biome.co.jp/ (accessed 26 July 2019)
3. Dalal, N. and Triggs, B. (2005) Histograms of oriented gradients for human detection. Proc. CVPR: 886–893
4. Du, J.X., Wang, X.F. and Zhang, G.J. (2007) Leaf shape based plant species recognition. Appl. Math. Comput. 185 : 883–893
5. Gouveia, F., Filipe, V., Reis, M., Couto, C. and Cruz, J.B. (1997) Biometry: the characterization of chestnut-tree leaves using computer vision. Proc. ISIE: 757–760
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