Publications by authors named "Kim Bjerge"

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: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models.
Song-Quan Ong, Nathan Pinoy, Min Hui Lim, Kim Bjerge, Francisco Javier Peris-Felipo

Curr Res Parasitol Vector Borne Dis· May 2025

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Object Detection of Small Insects in Time-Lapse Camera Recordings.
Kim Bjerge, Carsten Eie Frigaard, Henrik Karstoft

Sensors (Basel)· August 2023

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Accurate image-based identification of macroinvertebrate specimens using deep learning-How much training data is needed?
Toke T Høye, Mads Dyrmann, Christian Kjær, Johnny Nielsen, Marianne Bruus, Kim Bjerge

PeerJ· January 2023

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Towards the fully automated monitoring of ecological communities.
Marc Besson, Jamie Alison, Kim Bjerge, Thomas E Gorochowski, Toke T Høye

Ecol Lett· December 2022

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A mobile observatory powered by sun and wind for near real time measurements of atmospheric, glacial, terrestrial, limnic and coastal oceanic conditions in remote off-grid areas.
Søren Rysgaard, Kim Bjerge, Wieter Boone, Egon Frandsen, Michael Graversen

HardwareX· October 2022

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Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.
Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge

Sensors (Basel)· September 2021

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An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning.
Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, Flemming Helsing-Nielsen, Toke Thomas Høye

Sensors (Basel)· January 2021

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Deep learning and computer vision will transform entomology.
Toke T Høye, Johanna Ärje, Kim Bjerge, Oskar L P Hansen, Alexandros Iosifidis

Proc Natl Acad Sci U S A· January 2021

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