|Publication type:||Conference paper|
|Type of review:||Not specified|
|Title:||AAPM : automated airborne pest monitoring|
|Authors :||Fahrentrapp, Johannes|
Green, David R.
|Conference details:||C-IPM Workshop, Paris, France, 22-23 November 2018|
|Subject (DDC) :||630: Agriculture|
|Abstract:||Spotted wing drosophila (SWD) is a fruit fly attacking soft berry fruits. To measure the success of control measures against SWD, accurate and frequent monitoring of its presence is required. The AAPM project develops a system based on planar, photographable such as sticky traps that are monitored with high-resolution airborne imagery. The images are analyzed with deep learning methods and target insects are counted. Currently, we selected the best performing trap to catch SWD. Some hundred traps with SWD were used to train detection and counting algorithms. The next part of the project will focus on airborne image acquisition and integration of SWD counts into decision support systems providing information for IPM strategies.|
|Fulltext version :||Published version|
|License (according to publishing contract) :||Licence according to publishing contract|
|Departement:||Life Sciences and Facility Management|
|Organisational Unit:||Institute of Natural Resource Sciences (IUNR)|
|Published as part of the ZHAW project :||Automated Airborne Pest Monitoring AAPM of Drosophila suzukii in Crops and Natural Habitats|
|Appears in Collections:||Publikationen Life Sciences und Facility Management|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.