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Open Access

Peer-reviewed

Research Article

Classification of images of bee pollen according to their producers

Juan D. Leal Campuzano,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

Affiliations Dirección de Investigación y Desarrollo/Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA, Madrid, Cundinamarca, Colombia, Facultad de Sistemas/Escuela Tecnológica Instituto Técnico Central, Bogotá, Colombia
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Carlos A. Martínez Niño,

Roles Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation Departamento de Producción Animal, Facultad de Medicina Veterinaria y de Zootecnia, Universidad Nacional de Colombia, Bogotá, Colombia
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Francisco A. Gómez Jaramillo

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Resources, Supervision, Writing – original draft, Writing – review & editing

* E-mail: fagomezj@unal.edu.co

Affiliation Departamento de Matemáticas, Facultad de Ciencias, Universidad Nacional de Colombia, Bogotá, Colombia

https://orcid.org/0000-0003-4553-5343

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Classification of images of bee pollen according to their producers

Juan D. Leal Campuzano,
Carlos A. Martínez Niño,
Francisco A. Gómez Jaramillo

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Published: October 21, 2025
https://doi.org/10.1371/journal.pone.0334615

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Pollen
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Bees
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Machine learning
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Honey bees
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Machine learning algorithms
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Plants
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Imaging techniques
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Support vector machines
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