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Nondestructive prediction of leaf area in colored cotton cultivars: a comparative approach using machine learning models with an interactive web interface

Crossref DOI link: https://doi.org/10.1186/s42397-025-00256-8

Published Online: 2026-03-04

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

Authors

da SILVA RIBEIRO, João Everthon https://orcid.org/0000-0002-1937-0066
da SILVA, Antonio Gideilson Correia

de ALMEIDA OLIVEIRA, Pablo Henrique

dos SANTOS COÊLHO, Ester

FAGUNDES, Rislayne Ingrid

MELO, Ramon Silva

de SOUZA MORAIS, Carlos Daniel

SANTOS, Diego Mendonça

da SILVEIRA, Lindomar Maria

BARROS JÚNIOR, Aurélio Paes
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Text and Data Mining valid from 2026-03-04

Version of Record valid from 2026-03-04
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Article History

Received: 20 July 2025

Accepted: 17 December 2025

First Online: 4 March 2026

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests. Author da Silva Ribeiro JE is a member of the Editorial Board, and a Senior Editor of Journal of Cotton Research. Author da Silva Ribeiro JE was not involved in the journal’s review of, or decision related to this manuscript.

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