Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Kim Bjerge"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102861- (2024)
Arthropods, including insects, represent the most diverse group and contribute significantly to animal biomass. Automatic monitoring of insects and other arthropods enables quick and efficient observation and management of ecologically and economical
Externí odkaz:
https://doaj.org/article/21188da303044bf191da90ab4f03f057
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 8, Iss 3, Pp 315-327 (2022)
Abstract Insects are declining in abundance and diversity, but their population trends remain uncertain as insects are difficult to monitor. Manual methods require substantial time investment in trapping and subsequent species identification. Camera
Externí odkaz:
https://doaj.org/article/3d542d0bcbac47aba1503befd34c64d3
Autor:
Søren Rysgaard, Kim Bjerge, Wieter Boone, Egon Frandsen, Michael Graversen, Toke Thomas Høye, Bjarne Jensen, Geoffrey Johnen, Marcin Antoni Jackowicz-Korczynski, Jeffrey Taylor Kerby, Simon Kortegaard, Mikhail Mastepanov, Claus Melvad, Peter Schmidt Mikkelsen, Keld Mortensen, Carsten Nørgaard, Ebbe Poulsen, Tenna Riis, Lotte Sørensen, Torben Røjle Christensen
Publikováno v:
HardwareX, Vol 12, Iss , Pp e00331- (2022)
Climate change is rapidly altering the Arctic environment. Although long-term environmental observations have been made at a few locations in the Arctic, the incomplete coverage from ground stations is a main limitation to observations in these remot
Externí odkaz:
https://doaj.org/article/9ec98a4a295a478c801b4674871f5a47
Publikováno v:
Sensors, Vol 23, Iss 16, p 7242 (2023)
As pollinators, insects play a crucial role in ecosystem management and world food production. However, insect populations are declining, necessitating efficient insect monitoring methods. Existing methods analyze video or time-lapse images of insect
Externí odkaz:
https://doaj.org/article/7072e225cad843559e2d492a20a9e1e5
Autor:
Toke T. Høye, Mads Dyrmann, Christian Kjær, Johnny Nielsen, Marianne Bruus, Cecilie L. Mielec, Maria S. Vesterdal, Kim Bjerge, Sigurd A. Madsen, Mads R. Jeppesen, Claus Melvad
Publikováno v:
PeerJ, Vol 10, p e13837 (2022)
Image-based methods for species identification offer cost-efficient solutions for biomonitoring. This is particularly relevant for invertebrate studies, where bulk samples often represent insurmountable workloads for sorting, identifying, and countin
Externí odkaz:
https://doaj.org/article/1f0753f25f204f10a3f2739ff2edebdf
Publikováno v:
Sensors, Vol 21, Iss 18, p 6126 (2021)
Invasive alien plant species (IAPS) pose a threat to biodiversity as they propagate and outcompete natural vegetation. In this study, a system for monitoring IAPS on the roadside is presented. The system consists of a camera that acquires images at h
Externí odkaz:
https://doaj.org/article/89f93b81d2c8468ba7bc31df2f7fa22a
Autor:
Kim Bjerge, Jakob Bonde Nielsen, Martin Videbæk Sepstrup, Flemming Helsing-Nielsen, Toke Thomas Høye
Publikováno v:
Sensors, Vol 21, Iss 2, p 343 (2021)
Insect monitoring methods are typically very time-consuming and involve substantial investment in species identification following manual trapping in the field. Insect traps are often only serviced weekly, resulting in low temporal resolution of the
Externí odkaz:
https://doaj.org/article/7e432431e58b46a38ccf5deda14a257c
Autor:
Marc Besson, Jamie Alison, Kim Bjerge, Thomas E. Gorochowski, Toke T. Høye, Tommaso Jucker, Hjalte M. R. Mann, Christopher F. Clements
Publikováno v:
Besson, M, Alison, J, Bjerge, K, Gorochowski, T E, Høye, T T, Jucker, T, Mann, H M R & Clements, C F 2022, ' Towards the fully automated monitoring of ecological communities ', Ecology Letters, vol. 25, no. 12, pp. 2753-2775 . https://doi.org/10.1111/ele.14123
High-resolution monitoring is fundamental to understand ecosystems dynamics in an era of global change and biodiversity declines. While real-time and automated monitoring of abiotic components has been possible for some time, monitoring biotic compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e645d7e0a1774202f7e4ec96e7bdaf3c
https://pure.au.dk/portal/da/publications/towards-the-fully-automated-monitoring-of-ecological-communities(31579398-5e4f-47fe-b8df-f94b47446742).html
https://pure.au.dk/portal/da/publications/towards-the-fully-automated-monitoring-of-ecological-communities(31579398-5e4f-47fe-b8df-f94b47446742).html
Publikováno v:
Bjerge, K, Mann, H M R & Høye, T T 2022, ' Real-time insect tracking and monitoring with computer vision and deep learning ', Remote Sensing in Ecology and Conservation, vol. 8, no. 3, pp. 315-327 . https://doi.org/10.1002/rse2.245
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c82817b95cc875fe83e9704c4c404388
https://pure.au.dk/portal/da/publications/realtime-insect-tracking-and-monitoring-with-computer-vision-and-deep-learning(09d3bdad-7c65-4b33-9823-3a40a989b88d).html
https://pure.au.dk/portal/da/publications/realtime-insect-tracking-and-monitoring-with-computer-vision-and-deep-learning(09d3bdad-7c65-4b33-9823-3a40a989b88d).html
Publikováno v:
Aarhus University
Insects as pollinators play a crucial role in ecosystem management and world food production. However, insect populations are declining, calling for efficient methods of insect monitoring. Existing methods analyze video or time-lapse images of insect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::980b08098800256797d3a66f7bbe62aa