Author

Hjalte M. R. Mann

Aarhus UniversityORCID 0000-0002-4768-4767Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:ecology & biodiversity· 1 Assay:imaging· 1

Frequent Co-Authors

Henrik KarstoftiD· 1 shared Kim BjergeiD· 1 shared Toke T. HøyeiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Henrik KarstoftORCID

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1 paper

Recent·Most cited

EcologyEcological InformaticsPeer-reviewedOct 31, 2024

A deep learning pipeline for time-lapse camera monitoring of insects and their floral environments

Kim Bjerge, Henrik Karstoft, Hjalte M. R. Mann, Toke T. Høye

This paper presents a deep learning pipeline to monitor arthropod abundance and floral cover using time-lapse camera data, showing a correlation between flower cover and arthropod activity.

33 citations

imagingdeep learning

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