Follow
Kim Bjerge
Kim Bjerge
Associate Professor, Aarhus University School of Engineering
Verified email at ase.au.dk
Title
Cited by
Cited by
Year
Deep learning and computer vision will transform entomology
TT Hye, J rje, K Bjerge, OLP Hansen, A Iosifidis, F Leese, HMR Mann, ...
Proceedings of the National Academy of Sciences 118 (2), e2002545117, 2021
2992021
Towards the fully automated monitoring of ecological communities
M Besson, J Alison, K Bjerge, TE Gorochowski, TT Hye, T Jucker, ...
Ecology Letters 25 (12), 2753-2775, 2022
942022
An automated light trap to monitor moths (Lepidoptera) using computer vision-based tracking and deep learning
K Bjerge, JB Nielsen, MV Sepstrup, F Helsing-Nielsen, TT Hye
Sensors 21 (2), 343, 2021
912021
Real-time insect tracking and monitoring with computer vision and deep learning
K Bjerge, HMR Mann, TT Hye
Remote Sensing in Ecology and Conservation, 2021
732021
A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony
K Bjerge, CE Frigaard, PH Mikkelsen, TH Nielsen, M Misbih, P Kryger
Computers and Electronics in Agriculture 164, 104898, 2019
702019
A living laboratory exploring mobile support for everyday life with diabetes
AM Kanstrup, K Bjerge, JE Kristensen
Wireless personal communications 53, 395-408, 2010
402010
Accurate detection and identification of insects from camera trap images with deep learning
K Bjerge, J Alison, M Dyrmann, CE Frigaard, HMR Mann, TT Hye
PLOS Sustainability and Transformation 2 (3), e0000051, 2023
332023
Enhancing non-technical skills by a multidisciplinary engineering summer school
PG Larsen, EL Kristiansen, J Bennedsen, K Bjerge
European Journal of Engineering Education 42 (6), 1076-1096, 2017
182017
A light trap and computer vision system to detect and classify live moths (Lepidoptera) using tracking and deep learning
K Bjerge, JB Nielsen, M Videbk Sepstrup, F Helsing-Nielsen, TT Hye
bioRxiv, 2020.03. 18.996447, 2020
142020
A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design
K Bjerge, JH Schougaard, DE Larsen
Microprocessors and microsystems 87, 104363, 2021
122021
Guide for getting started with SystemC development
K Bjerge
Danish Technological Institute, 2007
112007
Accurate image-based identification of macroinvertebrate specimens using deep learning—How much training data is needed?
TT Hye, M Dyrmann, C Kjr, J Nielsen, M Bruus, CL Mielec, ...
PeerJ 10, e13837, 2022
92022
Camera assisted roadside monitoring for invasive alien plant species using deep learning
M Dyrmann, AK Mortensen, L Linneberg, TT Hye, K Bjerge
Sensors 21 (18), 6126, 2021
82021
Vibration signatures in ball bearings as a function of lubricant viscosity ratio κ, under alternating lubrication conditions
MO Jakobsen, ES Herskind, K Bjerge, P Ahrendt, CF Pedersen, ...
Tribology International 156, 106840, 2021
82021
Hierarchical classification of insects with multitask learning and anomaly detection
K Bjerge, Q Geissmann, J Alison, HMR Mann, TT Hye, M Dyrmann, ...
Ecological Informatics 77, 102278, 2023
72023
Supporting the Partitioning process in Hardware/Software Co-design with VDM-RT
JAE Isasa, PG Larsen, K Bjerge
Nico Plat, Claus Ballegaard Nielsen and Steve Riddle (Eds.), 5, 2012
72012
Object Detection of Small Insects in Time-Lapse Camera Recordings
K Bjerge, CE Frigaard, H Karstoft
Sensors 23 (16), 7242, 2023
62023
Computer vision and deep learning in insects for food and feed production: A review
S Nawoya, F Ssemakula, R Akol, Q Geissmann, H Karstoft, K Bjerge, ...
Computers and Electronics in Agriculture 216, 108503, 2024
52024
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
S Rysgaard, K Bjerge, W Boone, E Frandsen, M Graversen, TT Hye, ...
HardwareX 12, e00331, 2022
52022
Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects
DB Roy, J Alison, TA August, M Blisle, K Bjerge, JJ Bowden, MJ Bunsen, ...
Philosophical Transactions of the Royal Society B 379 (1904), 20230108, 2024
32024
The system can't perform the operation now. Try again later.
Articles 1–20