AAPM : automated airborne pest monitoring

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

    Similar works