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Proceedings Paper

Recognition of a plant leaf based on convolutional neural networks
Author(s): Yingjiu Guo; Dayu Wang; Hongwei Zhu
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Paper Abstract

This paper proposes a system to recognize strawberries from other plants based based on convolutional neural networks(CNNs). The architecture of the proposed CNNs is comprised of a number of convolutional layers. The proposed CNNs can identify strawberries from other leaves with 95.2% accuracy which is comparably better than recent literature. The article also analyzes the influence of various factors such as kernel size, feature maps and CNN layers on the accuracy.

Paper Details

Date Published: 9 August 2018
PDF: 5 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060P (9 August 2018); doi: 10.1117/12.2503098
Show Author Affiliations
Yingjiu Guo, Beijing City Univ. (China)
Dayu Wang, Beijing City Univ. (China)
Hongwei Zhu, Beijing City Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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