Study on Classification of Seafood Mushroom Growth Stages Based on Deep Learning-Reference-Cited by-同舟云学术

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Study on Classification of Seafood Mushroom Growth Stages Based on Deep Learning

Published:2023-09-22 Issue: Volume:32 Page:1088-1091
ISSN:
Container-title:2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS)
language:
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Author:

Xu Zhenghao¹,Yang Shuzhen²,Huang Jie²,Zheng Xueping³

Affiliation:

1. Shanghai Lonliv-Tech Limited.Co.LTD,Research and Development Department,Shanghai,China

2. Shanghai Polytechnic University,School of Intelligent Manufacturing and Control Engineering,Shanghai,China

3. Shanghai Rongmei Agricultural Technology Co., LTD,Technology Department,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434935/10434274/10435430.pdf?arnumber=10435430

Reference11 articles.

1. Initial exploration of maize phenological stage based on image recognitio;Lu;Chinese Journal of Agrometeorolog,2011

2. A New Deep Learning Model for the Classification of Poisonous and Edible Mushrooms Based on Improved AlexNet Convolutional Neural Network

3. Machine Vision Recognition System of Edible and Poisonous Mushrooms Using a Small Training Set-Based Deep Transfer Learning

4. An anchor-free network for detection of volvariella volvacea growth status;Zha;Acta Edulis Fungi,2018

5. Feature extraction and multi-period classification of sea mushroom based on image information

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