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Temporal forecasting of plant height and canopy diameter from RGB images using a CNN-based regression model for ornamental pepper plants (Capsicum spp.) growing under high-temperature stress

Crossref DOI link: https://doi.org/10.1007/s00521-024-10502-w

Published Online: 2024-11-29

Published Print: 2025-09

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

Authors

Ruiz-Gonzalez, Ruben https://orcid.org/0000-0001-7006-2395
do Nascimento, Antonia Maiara Marques https://orcid.org/0000-0002-9878-2084
Santos, Marcos Bruno da Costa https://orcid.org/0009-0009-9494-8903
Porto, Rutten Kécio Soares de Brito https://orcid.org/0009-0006-6042-9679
Medeiros, Artur Mendes https://orcid.org/0000-0001-8415-4565
dos Santos, Fábio Sandro https://orcid.org/0000-0002-0135-4981
Martínez-Martínez, Víctor https://orcid.org/0000-0002-3730-7407
Barroso, Priscila Alves https://orcid.org/0000-0003-1749-1961
Funding

Funding for this research was provided by:

Conselho Nacional de Desenvolvimento Científico e Tecnológico (408444/2021-5)

Universidad de Burgos
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Text and Data Mining valid from 2024-11-29

Version of Record valid from 2024-11-29
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Article History

Received: 12 March 2024

Accepted: 30 September 2024

First Online: 29 November 2024

Declarations

:

: The authors declare no conflict of interest.

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