Precise automatic classification of 46 different pollen types with convolutional neural networks

Víctor Sevillano; Katherine Holt; José L. Aznarte

doi:10.1371/journal.pone.0229751

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Open Access

Peer-reviewed

Research Article

Precise automatic classification of 46 different pollen types with convolutional neural networks

Víctor Sevillano,

Roles Data curation, Investigation, Software, Visualization, Writing – original draft

Affiliation Artificial Intelligence Department, Universidad Nacional de Educación a Distancia—UNED, Madrid, Spain
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Katherine Holt,

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Validation, Writing – original draft, Writing – review & editing

Affiliation Institute of Natural Resources, Massey University, Palmerston North, New Zealand
⨯
José L. Aznarte

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: jlaznarte@dia.uned.es

Affiliation Artificial Intelligence Department, Universidad Nacional de Educación a Distancia—UNED, Madrid, Spain

http://orcid.org/0000-0002-1636-244X

⨯

Precise automatic classification of 46 different pollen types with convolutional neural networks

Víctor Sevillano,
Katherine Holt,
José L. Aznarte

Published: June 23, 2020
https://doi.org/10.1371/journal.pone.0229751
See the preprint

About the Authors

Víctor Sevillano

Roles Data curation, Investigation, Software, Visualization, Writing – original draft

Affiliation Artificial Intelligence Department, Universidad Nacional de Educación a Distancia—UNED, Madrid, Spain

Katherine Holt

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Validation, Writing – original draft, Writing – review & editing

Affiliation Institute of Natural Resources, Massey University, Palmerston North, New Zealand

José L. Aznarte

Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: jlaznarte@dia.uned.es

Affiliation Artificial Intelligence Department, Universidad Nacional de Educación a Distancia—UNED, Madrid, Spain

http://orcid.org/0000-0002-1636-244X

Competing Interests

The authors have declared that no competing interests exist.

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Pollen
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Neural networks
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Deep learning
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Imaging techniques
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Honey
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Machine learning
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Preprocessing
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Recurrent neural networks
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