Paper
9 August 2018 Recognition of a plant leaf based on convolutional neural networks
Yingjiu Guo, Dayu Wang, Hongwei Zhu
Author Affiliations +
Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108060P (2018) https://doi.org/10.1117/12.2503098
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
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.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yingjiu Guo, Dayu Wang, and Hongwei Zhu "Recognition of a plant leaf based on convolutional neural networks", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108060P (9 August 2018); https://doi.org/10.1117/12.2503098
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KEYWORDS
Convolutional neural networks

Neural networks

Image processing

Computer vision technology

Digital image processing

Machine vision

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