Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-4981Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Roosjen, Peter | - |
| dc.contributor.author | Lammert, Kooistra | - |
| dc.contributor.author | Fahrentrapp, Johannes | - |
| dc.contributor.author | Green, David R. | - |
| dc.date.accessioned | 2019-01-16T13:53:36Z | - |
| dc.date.available | 2019-01-16T13:53:36Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/14409 | - |
| dc.description.abstract | Drosophila suzukii 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 Drosophila suzukii in crops and their surroundings is essential for the prevention of damage to economically valuable fruit crops. Existing methods for monitoring Drosophila suzukii are costly, time and labor intensive, prone to errors, and typically conducted at a low spatial resolution. To overcome current monitoring limitations, we are developing a novel system consisting of sticky traps which are monitored by means of Unmanned Aerial Vehicles (UAVs) and an image processing pipeline that automatically identifies and counts the number of Drosophila suzukii per trap location. To this end, we are currently collecting high resolution RGB imagery of Drosophila suzukii flies in sticky traps taken from both a static position (tripod) and from a UAV, which are then used as input to train deep learning models. Preliminary results show that a large part of the of Drosophila 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 sticky 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 Drosophila suzukii in near real time. This data will be used as input to a decision support system (DSS) to provide valuable information for farmers. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | ZHAW Zürcher Hochschule für Angewandte Wissenschaften | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject.ddc | 630: Landwirtschaft | de_CH |
| dc.title | Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats | de_CH |
| dc.type | Konferenz: Poster | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | Life Sciences und Facility Management | de_CH |
| zhaw.organisationalunit | Institut für Umwelt und Natürliche Ressourcen (IUNR) | de_CH |
| dc.identifier.doi | 10.21256/zhaw-4981 | - |
| zhaw.conference.details | 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018 | de_CH |
| zhaw.funding.eu | Not specified | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Not specified | de_CH |
| zhaw.webfeed | Hortikultur | de_CH |
| Appears in collections: | Publikationen Life Sciences und Facility Management | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Roosjen_Automated_airborne_pest_monitoring_of_drosophila_suzukii.pdf | 983.68 kB | Adobe PDF |  View/Open |
Show simple item record
Roosjen, P., Lammert, K., Fahrentrapp, J., & Green, D. R. (2018). Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats. 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018. https://doi.org/10.21256/zhaw-4981
Roosjen, P. et al. (2018) ‘Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats’, in 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-4981.
P. Roosjen, K. Lammert, J. Fahrentrapp, and D. R. Green, “Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats,” in 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018, 2018. doi: 10.21256/zhaw-4981.
ROOSJEN, Peter, Kooistra LAMMERT, Johannes FAHRENTRAPP und David R. GREEN, 2018. Automated airborne pest monitoring of drosophila suzukii in crops and natural habitats. In: 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018. Conference poster. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 2018
Roosjen, Peter, Kooistra Lammert, Johannes Fahrentrapp, and David R. Green. 2018. “Automated Airborne Pest Monitoring of Drosophila Suzukii in Crops and Natural Habitats.” Conference poster. In 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-4981.
Roosjen, Peter, et al. “Automated Airborne Pest Monitoring of Drosophila Suzukii in Crops and Natural Habitats.” 1st EARSeL Workshop UAS, Warsaw, Poland, 5-7 September 2018, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2018, https://doi.org/10.21256/zhaw-4981.
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