Research library

Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision

on the spatial and temporal diversity of pollen collected by honeybee colonies. This study, known as the ”Citizen Science Investigation on Pollen” (CSI-Pollen) [21], involved the collaboration of 750 beekeepers serving as citizen scientists. A remarkable total of approximately 18,000 pollen samples were collected and subjected to manual chromatic assessment. This paper presents a bee-based environment monitoring system that uses pollen color analysis to estimate floral diversity. The study focuses on non-invasively assessing pollinator habitat quality using computer vision technology on honey bee.

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Publication details

Authors
Frederic Tausch, Jan Wagner, Simon Klaus
Organizations
🇩🇪 Karlsruhe Institute of Technology🇩🇪 apic.ai GmbH
Year
2023
Type
Workshop

Relevancy to Gratheon

This paper is relevant to Gratheon because it informs camera-based hive-scanner and computer-vision models, sensor hardware, telemetry pipelines, and monitoring dashboards, pollination ecology and apiary-location intelligence. Its methods and findings can be translated into product requirements for reliable field deployments: what should be sensed, how signals should be interpreted, and which uncertainty or validation limits need to be surfaced to beekeepers. For Gratheon, the work is most useful as an evidence-backed design reference for connecting local hive observations with actionable recommendations in the web app while keeping hardware practical for remote apiaries.