<p>Advanced technologies for biodiversity monitoring:  A data pipeline for flower detection, counting and tracking</p>

Mirella Sangiovanni; Willem-Jan  van den Heuvel

doi:10.7490/f1000research.1119697.1

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Sangiovanni M and van den Heuvel WJ. Advanced technologies for biodiversity monitoring: A data pipeline for flower detection, counting and tracking [version 1; not peer reviewed]. F1000Research 2024, 13:85 (poster) (https://doi.org/10.7490/f1000research.1119697.1)

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Advanced technologies for biodiversity monitoring: A data pipeline for flower detection, counting and tracking

Mirella Sangiovanni¹, Willem-Jan van den Heuvel

Published 26 Jan 2024 (https://doi.org/10.7490/f1000research.1119697.1)

Author Affiliations

¹ Computational Biology, Tilburg University, Tilburg, North Brabant, The Netherlands

Copyright © 2024 Sangiovanni M and van den Heuvel WJ. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 26 Jan 2024

Advanced technologies for biodiversity monitoring: A data pipeline for flower detection, counting and tracking
[version 1; not peer reviewed]

Mirella Sangiovanni¹, Willem-Jan van den Heuvel

Author Affiliations

¹ Computational Biology, Tilburg University, Tilburg, North Brabant, The Netherlands

Presented at

Bioinformatics and Computational Biology Conference (BBCC), 2023

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Biodiversity, Computer Vision, Object Detection.

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