Research library

Research topic: Varroa Health

Papers, datasets, models, and field notes are connected into a practical research map for digital beekeeping, from academic references to applied Gratheon experiments.

Browse papers Explore datasets

Research map

Navigate the research collection

Summary

Product areas

Publications

Publication Year Institutions
A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies2026🇺🇸 Green Valley High School
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences
An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping2025🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Engineering and Agro-Food Processing, Monterotondo; 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Agriculture and Environment, Bologna; 🇷🇸 University of Novi Sad
An AI-Based Open-Source Software for Varroa Mite Fall Analysis in Honeybee Colonies2025🇪🇸 University of Zaragoza; 🇪🇸 University of La Rioja; 🇪🇸 University of Valencia
Towards Varroa destructor mite detection using a narrow spectra illumination2025🇨🇿 Brno University of Technology
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System2024🇺🇸 University of Texas Rio Grande Valley
Tracking Varroa Parasitism Using Handheld Infrared Cameras:Is Eusocial Fever the Key?2024🇭🇺 Hungarian University of Agricultureand Life Sciences
Varroa destructor detection on honey bees using hyperspectral imagery2024🇨🇿 Brno University of Technology; 🇫🇮 LUT University
Automated, non-invasive Varroa mite detection by vibrational measurements of gait combined with machine learning2023🇬🇧 Nottingham Trent University
Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks2023🇨🇳 Shandong Agriculture University
Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model2023🇪🇬 Egyptian Russian University; 🇪🇬 Cairo University; 🇪🇬 Tanta University; 🇪🇬 Scientific Research Group in Egypt
Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces2023🇲🇽 Universidad Politécnica de Tulancingo
Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite2022🇬🇷 University of Ioannina
Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques2021🇨🇿 Brno University of Technology
A Preliminary Study of Image Analysis forParasite Detection on Honey Bees2018🇦🇹 Vienna University of Technology; 🇪🇸 Universidad de Oviedo; 🇪🇸 Universitat de Barcelona
Publication Year Institutions
A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies2026🇺🇸 Green Valley High School
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences
Publication Year Institutions
An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping2025🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Engineering and Agro-Food Processing, Monterotondo; 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Agriculture and Environment, Bologna; 🇷🇸 University of Novi Sad
An AI-Based Open-Source Software for Varroa Mite Fall Analysis in Honeybee Colonies2025🇪🇸 University of Zaragoza; 🇪🇸 University of La Rioja; 🇪🇸 University of Valencia
Towards Varroa destructor mite detection using a narrow spectra illumination2025🇨🇿 Brno University of Technology
Publication Year Institutions
IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System2024🇺🇸 University of Texas Rio Grande Valley
Tracking Varroa Parasitism Using Handheld Infrared Cameras:Is Eusocial Fever the Key?2024🇭🇺 Hungarian University of Agricultureand Life Sciences
Varroa destructor detection on honey bees using hyperspectral imagery2024🇨🇿 Brno University of Technology; 🇫🇮 LUT University
Publication Year Institutions
Automated, non-invasive Varroa mite detection by vibrational measurements of gait combined with machine learning2023🇬🇧 Nottingham Trent University
Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks2023🇨🇳 Shandong Agriculture University
Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model2023🇪🇬 Egyptian Russian University; 🇪🇬 Cairo University; 🇪🇬 Tanta University; 🇪🇬 Scientific Research Group in Egypt
Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces2023🇲🇽 Universidad Politécnica de Tulancingo
Publication Year Institutions
Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite2022🇬🇷 University of Ioannina
Publication Year Institutions
Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques2021🇨🇿 Brno University of Technology
Publication Year Institutions
A Preliminary Study of Image Analysis forParasite Detection on Honey Bees2018🇦🇹 Vienna University of Technology; 🇪🇸 Universidad de Oviedo; 🇪🇸 Universitat de Barcelona