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Real-time identification and quantification of apple scab on fruit in preharvest and postharvest conditions using YOLO11: a deep learning approach

Published Online: 2026-02-22

Authors

Leiva, Fernanda

Rebeaud, Séverine Gabioud

Christen, Danilo
Funding

Funding for this research was provided by:

European Union’s Horizon Europe research and innovation program (No. 101061028)
License Information

Text and Data Mining valid from 2026-02-22

Version of Record valid from 2026-03-27
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Article History

Received: 30 June 2025

Accepted: 6 February 2026

First Online: 22 February 2026

Declarations

:

: Not applicable.

: All authors agreed to publish this manuscript

: The authors declare no competing interests.

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