Mushroom Classification Based on Deep Residual Network-Reference-Cited by-同舟云学术

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Mushroom Classification Based on Deep Residual Network

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML)
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Author:

Feng Ju¹,Ling Xufeng¹,Wang Yubo²,Yang Jie³

Affiliation:

1. Shanghai Normal University Tianhua College,School of Artificial Intelligence,Shanghai,China

2. Shanghai Acoustics Laboratory Chinese Academy of Sciences,Shanghai,China

3. Institute of Image Processing and Pattern Recognition and Institute of Medical Robotics Shanghai Jiaotong University,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347562/10348177/10348198.pdf?arnumber=10348198

Reference13 articles.

1. Resource diversity of Chinese macrofungi: edible, medicinal and poisonous species

2. Mushroom Poisoning Outbreaks — China, 2020

3. Analysis of toadstool poisoning incidents in Yunnan Province during 2010-2018[J];Zhao;Capital public health,2019

4. Recognition of poisonous mushrooms based on Bayesian classification [J];Liu;Software Guide,2015

5. Research and design of poisonous mushroom recognition system based on Android[D];Pang;Inner Mongol University of Technology,2019

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