Early Detection of Bark Beetle Infestation by Drone-Based Monoterpene Detection †
1
Department of Forest Work Science and Engineering, Faculty of Forest Science and Forest Ecology, Georg-August-University Göttingen, Büsgenweg 4, 37077 Göttingen, Germany
2
Albert-Ludwigs-University Freiburg, Tennenbacherstr. 4, 79106 Freiburg, Germany
3
University of Applied Forest Science Rottenburg, Schadenweilerhof, 72108 Rottenburg, Germany
*
Author to whom correspondence should be addressed.
†
Presented at the 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity, 15–30 Novermber 2020; Available online: https://iecf2020.sciforum.net.
Environ. Sci. Proc. 2021, 3(1), 20; https://0-doi-org.brum.beds.ac.uk/10.3390/IECF2020-08473
Published: 19 November 2020
(This article belongs to the Proceedings of The 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity)
Abstract
:The project PROTECTFOREST deals with the improvement of early bark beetle detection to allow a fast and effective response to initial infestation. The removal of trees in the early infestation stage can prohibit bark beetle population gradation and successive timber price decrease. A semi-conductor gas sensor array was tested in the lab and attached to a drone under artificial and real-life field conditions. The sensor array was able to differentiate between α-pinene amounts and between different temperatures under lab conditions. In the field, the sensor responded to a strong artificial α-pinene source. The real-life field trial showed preliminary results, as technical and environmental conditions did compromise proof of principle. Further research will evaluate the detection rate of infested trees with the new proposed sensor concept.
Supplementary Materials
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MDPI and ACS Style
Paczkowski, S.; Datta, P.; Irion, H.; Pelz, S.; Jaeger, D. Early Detection of Bark Beetle Infestation by Drone-Based Monoterpene Detection. Environ. Sci. Proc. 2021, 3, 20. https://0-doi-org.brum.beds.ac.uk/10.3390/IECF2020-08473
AMA Style
Paczkowski S, Datta P, Irion H, Pelz S, Jaeger D. Early Detection of Bark Beetle Infestation by Drone-Based Monoterpene Detection. Environmental Sciences Proceedings. 2021; 3(1):20. https://0-doi-org.brum.beds.ac.uk/10.3390/IECF2020-08473
Chicago/Turabian StylePaczkowski, Sebastian, Pawan Datta, Heidrun Irion, Stefan Pelz, and Dirk Jaeger. 2021. "Early Detection of Bark Beetle Infestation by Drone-Based Monoterpene Detection" Environmental Sciences Proceedings 3, no. 1: 20. https://0-doi-org.brum.beds.ac.uk/10.3390/IECF2020-08473
