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Contribution Details

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
Organization Unit
  • Anna Jancso
  • Daniel Boschung
  • Clemens Mader
  • Lorenz Hilty
  • Volker Wohlgemuth
  • Stefan Naumann
  • Hans-Knud Arndt
  • Grit Behrens
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
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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