An appearance quality classification method for Auricularia auricula based on deep learning
An appearance quality classification method for Auricularia auricula based on deep learning
About this item
Full title
Author / Creator
Li, Yang , Hu, Jiajun , Wu, Haiyun , Wei, Yong , Shan, Huiyong , Song, Xin , Hua, Xiuping , Xu, Wei and Jiang, Yongcheng
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
The intelligent appearance quality classification method for
Auricularia auricula
is of great significance to promote this industry. This paper proposes an appearance quality classification method for
Auricularia auricula
based on the improved Faster Region-based Convolutional Neural Networks (improved Faster RCNN) framework. The origin...
Alternative Titles
Full title
An appearance quality classification method for Auricularia auricula based on deep learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_97988293fde04807a6e51267f3a42a9d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_97988293fde04807a6e51267f3a42a9d
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-50739-4
