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  2. Life Sciences und Facility Management
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  4. Publikationen Life Sciences und Facility Management
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dc.contributor.authorFahrentrapp, Johannes-
dc.contributor.authorRoosjen, Peter-
dc.contributor.authorKooistra, Lammert-
dc.contributor.authorGreen, David R.-
dc.contributor.authorGregory, Billy J.-
dc.date.accessioned2021-02-04T10:54:58Z-
dc.date.available2021-02-04T10:54:58Z-
dc.date.issued2020-
dc.identifier.isbn9780429172410de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21541-
dc.description.abstractDrosophila 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.de_CH
dc.language.isoende_CH
dc.publisherCRC Pressde_CH
dc.relation.ispartofUnmanned Aerial Remote Sensing : UAS for Environmental Applicationsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMonitoringde_CH
dc.subjectUAVde_CH
dc.subjectRemote sensingde_CH
dc.subjectInsectde_CH
dc.subjectintegrated pest managementde_CH
dc.subjectIPMde_CH
dc.subject.ddc632: Pflanzenkrankheiten, Schädlingede_CH
dc.titleAutonomous UAV-based insect monitoringde_CH
dc.typeBuchbeitragde_CH
dcterms.typeTextde_CH
zhaw.departementLife Sciences und Facility Managementde_CH
zhaw.organisationalunitInstitut für Umwelt und Natürliche Ressourcen (IUNR)de_CH
zhaw.publisher.placeBoca Ratonde_CH
dc.identifier.doi10.1201/9780429172410-9de_CH
zhaw.funding.euNot specifiedde_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end159de_CH
zhaw.pages.start137de_CH
zhaw.parentwork.editorGreen, David R.-
zhaw.parentwork.editorGregory, Billy J.-
zhaw.parentwork.editorKarachok, Alex R.-
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedHortikulturde_CH
zhaw.funding.zhawAutomated Airborne Pest Monitoring AAPM of Drosophila suzukii in Crops and Natural Habitatsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen Life Sciences und Facility Management

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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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