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Machine learning-assisted evaluation of antioxidant and metal chelating capacities in in vitro propagated Ceratophyllum demersum L. under different LED light conditions

Crossref DOI link: https://doi.org/10.1007/s11240-025-03039-w

Published Online: 2025-04-29

Published Print: 2025-05

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

Authors

Atıcı, Yazgı Doga

Dogan, Muhammet https://orcid.org/0000-0003-3138-5903
Emsen, Bugrahan

Yıldırım, Hasan
Funding

Funding for this research was provided by:

Karamanoglu Mehmetbey University
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Text and Data Mining valid from 2025-04-29

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Article History

Received: 26 January 2025

Accepted: 17 March 2025

First Online: 29 April 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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