IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System
Christian I. Narcia-Macias, Joselito Guardado, Jocell Rodriguez,, Joanne Rampersad-Ammons, Erik Enriquez, Dong-Chul Kim

TL;DR
IntelliBeeHive is an affordable, AI-powered monitoring system that uses computer vision to track honey bees, pollen gathering, and Varroa mites in real-time, aiding hive health assessment.
Contribution
This study introduces a cost-effective, AI-based hive monitoring system utilizing YOLOv7-tiny for accurate detection of bees, pollen, and mites without disturbing the hive.
Findings
F1-score of 0.95 for honey bee detection
Detection accuracy of 96.28% for hive activity
High precision and recall for mite detection
Abstract
Utilizing computer vision and the latest technological advancements, in this study, we developed a honey bee monitoring system that aims to enhance our understanding of Colony Collapse Disorder, honey bee behavior, population decline, and overall hive health. The system is positioned at the hive entrance providing real-time data, enabling beekeepers to closely monitor the hive's activity and health through an account-based website. Using machine learning, our monitoring system can accurately track honey bees, monitor pollen-gathering activity, and detect Varroa mites, all without causing any disruption to the honey bees. Moreover, we have ensured that the development of this monitoring system utilizes cost-effective technology, making it accessible to apiaries of various scales, including hobbyists, commercial beekeeping businesses, and researchers. The inference models used to detect…
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Taxonomy
TopicsInsect and Pesticide Research · Insect and Arachnid Ecology and Behavior · Bee Products Chemical Analysis
