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Enhanced YOLO-based framework for accurate detection and identification of common wheat impurities with distinct objects

Crossref DOI link: https://doi.org/10.1038/s41598-025-23032-9

Published Online: 2025-11-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bagherpour, Hossein https://orcid.org/0000-0002-6877-6281
Peyruo, Negar Fattahi
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Text and Data Mining valid from 2025-11-18

Version of Record valid from 2025-11-18
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Article History

Received: 6 June 2025

Accepted: 3 October 2025

First Online: 18 November 2025

Declarations

:

: The authors declare no competing interests.