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Leaf Recognition Based on Capsule Network

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Intelligent Computing Theories and Application (ICIC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11643))

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Abstract

Plant is an indispensable part of human life, so it is very important to identify and protect plants. Convolutional neural network is a commonly used neural network for image recognition. However, convolutional neural network has huge defects. In order to avoid the defects of convolutional neural network, this paper adopts a new type of neural network: capsule neural network to complete plant leaf recognition. The experiment shows that the capsule neural network has a more effective recognition rate than the common neural network in plant leaf recognition.

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Acknowledgements

This work was supported by the grants of the National Science Foundation of China, Nos. 61672203, 61572447, 61772357, 31571364, 61861146002,61520106006, 61772370, 61702371, 61672382, and 61732012, China Post-doctoral Science Foundation Grant, No. 2017M611619, and supported by “BAGUI Scholar” Program and the Scientific & Technological Base and Talent Special Program, GuiKe AD18126015 of the Guangxi Zhuang Autonomous Region of China.

Author information

Authors and Affiliations

  1. Institute of Machine Learning and Systems Biology, School of Electronics and Information Engineering, Tongji University, Shanghai, China

    Yang Zheng

  2. Science Computing and Intelligent Information Processing of GuangXi Higher Education Key Laboratory, Nanning Normal University, Nanning, Guangxi, China

    Chang-An Yuan

  3. Department of Communication Technology, College of Electronic Information Engineering, Suzhou Vocational University, Suzhou, 215104, Jiangsu, China

    Li Shang

  4. College of Mechanical and Electrical Engineering, Nanchang Institute of Technology, Nanchang, 330099, Jiangxi, China

    Zhi-Kai Huang

Authors
  1. Yang Zheng
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  2. Chang-An Yuan
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  3. Li Shang
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  4. Zhi-Kai Huang
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Corresponding author

Correspondence to Yang Zheng .

Editor information

Editors and Affiliations

  1. Tongji University, Shanghai, China

    De-Shuang Huang

  2. Polytechnic University of Bari, Bari, Italy

    Vitoantonio Bevilacqua

  3. University of Wollongong, North Wollongong, NSW, Australia

    Prashan Premaratne

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Zheng, Y., Yuan, CA., Shang, L., Huang, ZK. (2019). Leaf Recognition Based on Capsule Network. In: Huang, DS., Bevilacqua, V., Premaratne, P. (eds) Intelligent Computing Theories and Application. ICIC 2019. Lecture Notes in Computer Science(), vol 11643. Springer, Cham. https://doi.org/10.1007/978-3-030-26763-6_31

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  • DOI: https://doi.org/10.1007/978-3-030-26763-6_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26762-9

  • Online ISBN: 978-3-030-26763-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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