معرفی
Carsten Eie Frigaard is an Associate Professor at the Department of Electrical and Computer Engineering, Aarhus University (AU Engineering). His work focuses on signal processing and machine learning applications in biological monitoring systems.
- Research Themes: Development of computer vision systems for ecological monitoring, object detection of insects in time-lapse imagery, and deep learning applications for camera trap data analysis.
- Key Collaborations: Co-authorship with K. Bjerge on multiple publications in journals like PLOS Sustainability and Transformation, Sensors, and Computers and Electronics in Agriculture, as well as preprints on bioRxiv and arXiv.org.
Project Involvement: Led the "Varroamide detektion på bier" research project from March 2017 to December 2018, focusing on automated monitoring of honeybee infestations.
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