Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scen...
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
About this item
Full title
Author / Creator
Jin, Xiaowei , Zhao, Yuhong , Wu, Hao and Sun, Tingting
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
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Publication information
Publisher
London: Nature Publishing Group UK
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More information
Scope and Contents
Contents
Generally, sunflower seeds are classified by machine vision-based methods in production, which include using photoelectric sensors to identify light-sensitive signals through traditional algorithms for which the equipment cost is relatively high and using neural network image recognition methods to identify images through cameras for which the comp...
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Full title
Sunflower seeds classification based on sparse convolutional neural networks in multi-objective scene
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_0446def6b64d49a0b67cd2d9d85b6525
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0446def6b64d49a0b67cd2d9d85b6525
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-022-23869-4
