Deliverables
Assignments
We distinguish between unmarked and marked deliverables (“Studien- und Prüfungsleistung”). Both are required for passing the course but only the latter are marked.
Your unmarked assignment will be to present a paper on recent developments in the world of proximity sensing in the form of a 12 minute presentation followed by a 3 minute discussion. Everybody is requested to prepare 3 questions for the topic of each of your peers.
Topics of the seminar
| Paper | Presenter | Presentation Date |
|---|---|---|
| Holzbauer et al. (2025, preprint).Do camera light traps provide similar data as conventional funnel light traps? DOI | ||
| Drake et al. (2024) Monitoring insect numbers and biodiversity with a vertical-beam entomological radar DOI | ||
| Chiavassa et al. (2024) The Field Automatic Insect Recognition-Device—A Non-Lethal Semi-Automatic Malaise Trap for Insect Biodiversity Monitoring: Proof of Concept DOI | ||
| Alberti et al. (2023) Bioacoustic IoT Sensors as Next-Generation Tools for Monitoring: Counting Flying Insects through Buzz DOI | ||
| Calvus et al. (2025) In-field monitoring of ground-nesting insect aggregations using a scaleable multi-camera system DOI | ||
| Jiang et al. (2022) Acoustic detection of the wood borer, Semanotus bifasciatus, as an early monitoring technology DOI | ||
| Alcocer, et al. (2022). Acoustic indices as proxies for biodiversity: a meta-analysis. Biological Reviews 97, 2209–2236. DOI | ||
| Naqvi et al. (2022) Camera traps are an effective tool for monitoring insect–plant interactions DOI | ||
| Suto (2022) A Novel Plug-in Board for Remote Insect Monitoring DOI | ||
| Sittinger et al. (2024) Insect detect: An open-source DIY camera trap for automated insect monitoring DOI | ||
| Feng (2025) First high-resolution vertical-looking radar for long-term automatic observation of high-flying insects in Asia DOI | ||
| Ratnayake (2023) Spatial Monitoring and Insect Behavioural Analysis Using Computer Vision for Precision Pollination DOI |
Project work
Your marked assignment will be to prepare a report consisting of an introduction, a methods part, an analysis, description of results, and discussion. Additionally, there should be a a description of the setting, which should be presented in a way that is easy to understand for non-experts and allows for easy replication. This assignment can also be presented in form of a github page. You can submit group projects with up to 3 people, but each person must individually produce at least 1.5 page of text and a graph and mark it accordingly.
Master students must additionally submit 2 pages of substantial suggestions for further development.