Author

M. V. Sepstrup

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Organism:multiple species· 1

Frequent Co-Authors

F. Helsing-Nielsen· 1 shared J. B. Nielsen· 1 shared K. Bjerge· 1 shared T. T. Hoye· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperEcology

F. Helsing-Nielsen

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1 paper

Recent·Most cited

EcologybioRxivMar 18, 2020

An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning

K. Bjerge, J. B. Nielsen, M. V. Sepstrup…·T. T. Hoye

This paper introduces an automated moth trap with computer vision and deep learning to monitor moths, achieving high image capture and classification performance.

DOI 10.3390/s21020343

multiple speciesimaging

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