Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness predictio...
Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction
About this item
Full title
Author / Creator
Li, Yuchi , Wang, Zhigao , Yang, Aiwei and Yu, Xiaoqi
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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Scope and Contents
Contents
The assessment of apple quality is pivotal in agricultural production management, and apple ripeness is a key determinant of apple quality. This paper proposes an approach for assessing apple ripeness from both structured and unstructured observation data, i.e., text and images. For structured text data, support vector regression (SVR) models optim...
Alternative Titles
Full title
Integrating evolutionary algorithms and enhanced-YOLOv8 + for comprehensive apple ripeness prediction
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b1b9ccf120a148cd85b6a64e91f4d23a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1b9ccf120a148cd85b6a64e91f4d23a
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-91939-4
