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| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | An Automated, Non-Invasive Approach to Determine Bee Pollen Diversity Based on Flora Data |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| ISBN | 978-3-8440-8329-3 |
| Page Range | 55 - 63 |
| Event Title | EnviroInfo 2021 |
| Event Type | conference |
| Event Location | Berlin |
| Event Start Date | September 27 - 2021 |
| Event End Date | September 29 - 2021 |
| Number | 35 |
| Place of Publication | Aachen, Germany |
| Publisher | Shaker |
| Abstract Text | Bees collect pollen from a variety of plant species. This pollen diversity is both an indicator of biodiversity and a balanced diet for bees which has a positive effect on their health. Traditionally, pollen diversity is determined by invasively and manually collecting and analysing the pollen. In this paper, we present a heuristic for assessing the pollen diversity around a hive using data on flora. This data-driven approach is both efficient and non-invasive. We evaluated our approach against the results of a microscope analysis, showing that it delivers useable results, despite the lack of flora data in some places. As a next step, we will incorporate data from our AI-based video monitoring system of hives to match plants based on pollen colours that were detected in the images. |
| Other Identification Number | merlin-id:22147 |
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