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A novel approach to authentication of highbush and lowbush blueberry cultivars using image analysis, traditional machine learning and deep learning algorithms

Crossref DOI link: https://doi.org/10.1007/s00217-024-04626-5

Published Online: 2024-11-20

Published Print: 2025-02

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

Authors

Ropelewska, Ewa https://orcid.org/0000-0001-8891-236X
Koniarski, Michał https://orcid.org/0000-0001-8711-8906
Funding

Funding for this research was provided by:

the Polish Ministry of Agriculture and Rural Development (Task 1.2: Ex situ conservation of genetic resources of horticultural crops, Task 1.2: Ex situ conservation of genetic resources of horticultural crops)
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Text and Data Mining valid from 2024-11-20

Version of Record valid from 2024-11-20
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Article History

Received: 19 August 2024

Revised: 14 October 2024

Accepted: 31 October 2024

First Online: 20 November 2024

Declarations

:

: The authors declare no competing interests.

: Research presented in this article did not involve any human or animal subjects.

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