| Publikationstyp: | Buchbeitrag |
| Art der Begutachtung: | Editorial review |
| Titel: | Autonomous UAV-based insect monitoring |
| Autor/-in: | Fahrentrapp, Johannes Roosjen, Peter Kooistra, Lammert Green, David R. Gregory, Billy J. |
| et. al: | No |
| DOI: | 10.1201/9780429172410-9 |
| Erschienen in: | Unmanned Aerial Remote Sensing : UAS for Environmental Applications |
| Herausgeber/-in des übergeordneten Werkes: | Green, David R. Gregory, Billy J. Karachok, Alex R. |
| Seite(n): | 137 |
| Seiten bis: | 159 |
| Erscheinungsdatum: | 2020 |
| Verlag / Hrsg. Institution: | CRC Press |
| Verlag / Hrsg. Institution: | Boca Raton |
| ISBN: | 9780429172410 |
| Sprache: | Englisch |
| Schlagwörter: | Monitoring; UAV; Remote sensing; Insect; integrated pest management; IPM |
| Fachgebiet (DDC): | 632: Pflanzenkrankheiten, Schädlinge |
| Zusammenfassung: | Drosophila suzukii Matsumura, the spotted wing drosophila (SWD), has become a serious pest in Europe attacking many soft-skinned crops such as several berry species and grapevines since its spread in 2008 to Spain and Italy. An efficient and accurate monitoring system to identify the presence of D. suzukii in crops and their surroundings is essential for the prevention of damage to economically valuable fruit crops. Existing methods for monitoring D. suzukii are costly, time and labour intensive, prone to errors, and typically conducted at a low spatial resolution. To overcome current monitoring limitations, we are investigating and developing a novel system consisting of traps that are monitored by means of cameras from Unmanned Aerial Vehicles (UAVs) and an image processing pipeline that automatically identifies and counts the number of D. suzukii per trap location. To this end, we are currently collecting high-resolution RGB imagery of D. suzukii flies in sticky traps taken from both a static position (tripod) and a UAV, which are then used as input to train deep learning object detection models. Preliminary results show that a large part of the D. suzukii flies that are caught in the sticky traps can be correctly identified by the trained deep learning models. In the future, an autonomously flying UAV platform will be programmed to capture imagery of the traps under field conditions. The collected imagery will be transferred directly to cloud-based storage for subsequent processing and analysis to identify the presence and count of D. suzukii in near real time. This data will subsequently be used as input to a decision support system (DSS) to provide valuable information for farmers. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/21541 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Umwelt und Natürliche Ressourcen (IUNR) |
| Publiziert im Rahmen des ZHAW-Projekts: | Automated Airborne Pest Monitoring AAPM of Drosophila suzukii in Crops and Natural Habitats |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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Zur Langanzeige
Fahrentrapp, J., Roosjen, P., Kooistra, L., Green, D. R., & Gregory, B. J. (2020). Autonomous UAV-based insect monitoring. In D. R. Green, B. J. Gregory, & A. R. Karachok (Eds.), Unmanned Aerial Remote Sensing : UAS for Environmental Applications (pp. 137–159). CRC Press. https://doi.org/10.1201/9780429172410-9
Fahrentrapp, J. et al. (2020) ‘Autonomous UAV-based insect monitoring’, in D.R. Green, B.J. Gregory, and A.R. Karachok (eds) Unmanned Aerial Remote Sensing : UAS for Environmental Applications. Boca Raton: CRC Press, pp. 137–159. Available at: https://doi.org/10.1201/9780429172410-9.
J. Fahrentrapp, P. Roosjen, L. Kooistra, D. R. Green, and B. J. Gregory, “Autonomous UAV-based insect monitoring,” in Unmanned Aerial Remote Sensing : UAS for Environmental Applications, D. R. Green, B. J. Gregory, and A. R. Karachok, Eds. Boca Raton: CRC Press, 2020, pp. 137–159. doi: 10.1201/9780429172410-9.
FAHRENTRAPP, Johannes, Peter ROOSJEN, Lammert KOOISTRA, David R. GREEN und Billy J. GREGORY, 2020. Autonomous UAV-based insect monitoring. In: David R. GREEN, Billy J. GREGORY und Alex R. KARACHOK (Hrsg.), Unmanned Aerial Remote Sensing : UAS for Environmental Applications. Boca Raton: CRC Press. S. 137–159. ISBN 9780429172410
Fahrentrapp, Johannes, Peter Roosjen, Lammert Kooistra, David R. Green, and Billy J. Gregory. 2020. “Autonomous UAV-Based Insect Monitoring.” In Unmanned Aerial Remote Sensing : UAS for Environmental Applications, edited by David R. Green, Billy J. Gregory, and Alex R. Karachok, 137–59. Boca Raton: CRC Press. https://doi.org/10.1201/9780429172410-9.
Fahrentrapp, Johannes, et al. “Autonomous UAV-Based Insect Monitoring.” Unmanned Aerial Remote Sensing : UAS for Environmental Applications, edited by David R. Green et al., CRC Press, 2020, pp. 137–59, https://doi.org/10.1201/9780429172410-9.
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