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Research product area: Hive Scanner

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

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Publications

Publication Year Institutions
An Automated AI-Based Vision Inspection System for Bee Mite and Deformed Bee Detection Using YOLO Models2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences; 🇰🇷 Terramolab Ltd.
An open-source high-precision hive for long-term honeybee observation and research2026🇨🇿 Czech Technical University in Prague; 🇦🇹 University of Graz
Detection and classification of honeybee castes using thermal imaging and deep learning2026🇮🇷 Razi University
Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching2026🇯🇵 Utsunomiya University
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences
M3DANet: A Lightweight Semi-Supervised Network and Embedded System for Bee Colony Counting2026🇨🇳 Shandong Agricultural University; 🇨🇳 Apiculture Institute of Jiangxi Province
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
Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression2025🇹🇭 Chiang Mai University
Fast, accurate measurement of the worker populations of honey bee colonies using deep learning2025🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
Image-based honey bee larval viral and bacterial diagnosis using machine learning2025🇺🇸 USDA Carl Hayden Bee Research Center; 🇺🇸 University of Arizona; 🇺🇸 Arizona Science Center
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter2024🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH)
Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model2023🇪🇬 Egyptian Russian University; 🇪🇬 Cairo University; 🇪🇬 Tanta University; 🇪🇬 Scientific Research Group in Egypt
SLEAP: A deep learning system for multi-animal pose tracking2022🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine
DeepLabCut-based daily behavioural and posture analysis in a cricket2021🇯🇵 Waseda University
Markerless tracking of an entire honey bee colony2021🇯🇵 Okinawa Institute of Science and Technology Graduate University; 🇦🇺 Australian National University; 🇳🇱 Vrije Universiteit Amsterdam
Automatic detection and classification of honey bee comb cells using deep learning2020🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
Real-time, low-latency closed-loop feedback using markerless posture tracking2020🇺🇸 Harvard University; 🇬🇧 NeuroGEARS Ltd; 🇺🇸 University of Oregon; 🇨🇭 Swiss Federal Institute of Technology
DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives2019🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning2019🇩🇪 Max Planck Institute of Animal Behavior; 🇩🇪 University of Konstanz; 🇺🇸 Princeton University; 🇩🇪 Technische Universität München
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning2018🇩🇪 Eberhard Karls Universität Tübingen; 🇺🇸 Harvard University; 🇺🇸 Columbia University; 🇩🇪 Max Planck Institute for Biological Cybernetics; 🇩🇪 Bernstein Center for Computational Neuroscience; 🇺🇸 Baylor College of Medicine
Multiple Animals Tracking in VideoUsing Part Affinity Fields2018🇵🇷 University of Puerto Rico
The development of honey bee coloniesassessed using a new semi-automated broodcounting method: CombCount2018🇦🇺 Macquarie University; 🇦🇺 Queensland University of Technology; 🇺🇸 Carl Hayden Bee Research Center
Towards dense object tracking in a 2D honeybee hive2018🇯🇵 Okinawa Institute of Science and Technology Graduate University; 🇳🇱 VU University Amsterdam
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence2018🇩🇪 Freie Universität Berlin; 🇩🇪 University of Konstanz; 🇩🇪 Robert Koch Institute; 🇺🇸 Auburn University; 🇺🇸 University of Hohenheim
Publication Year Institutions
An Automated AI-Based Vision Inspection System for Bee Mite and Deformed Bee Detection Using YOLO Models2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences; 🇰🇷 Terramolab Ltd.
An open-source high-precision hive for long-term honeybee observation and research2026🇨🇿 Czech Technical University in Prague; 🇦🇹 University of Graz
Detection and classification of honeybee castes using thermal imaging and deep learning2026🇮🇷 Razi University
Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching2026🇯🇵 Utsunomiya University
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis2026🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences
M3DANet: A Lightweight Semi-Supervised Network and Embedded System for Bee Colony Counting2026🇨🇳 Shandong Agricultural University; 🇨🇳 Apiculture Institute of Jiangxi Province
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
Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression2025🇹🇭 Chiang Mai University
Fast, accurate measurement of the worker populations of honey bee colonies using deep learning2025🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
Image-based honey bee larval viral and bacterial diagnosis using machine learning2025🇺🇸 USDA Carl Hayden Bee Research Center; 🇺🇸 University of Arizona; 🇺🇸 Arizona Science Center
Publication Year Institutions
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter2024🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH)
Publication Year Institutions
Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model2023🇪🇬 Egyptian Russian University; 🇪🇬 Cairo University; 🇪🇬 Tanta University; 🇪🇬 Scientific Research Group in Egypt
Publication Year Institutions
SLEAP: A deep learning system for multi-animal pose tracking2022🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine
Publication Year Institutions
DeepLabCut-based daily behavioural and posture analysis in a cricket2021🇯🇵 Waseda University
Markerless tracking of an entire honey bee colony2021🇯🇵 Okinawa Institute of Science and Technology Graduate University; 🇦🇺 Australian National University; 🇳🇱 Vrije Universiteit Amsterdam
Publication Year Institutions
Automatic detection and classification of honey bee comb cells using deep learning2020🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
Real-time, low-latency closed-loop feedback using markerless posture tracking2020🇺🇸 Harvard University; 🇬🇧 NeuroGEARS Ltd; 🇺🇸 University of Oregon; 🇨🇭 Swiss Federal Institute of Technology
Publication Year Institutions
DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives2019🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai
DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning2019🇩🇪 Max Planck Institute of Animal Behavior; 🇩🇪 University of Konstanz; 🇺🇸 Princeton University; 🇩🇪 Technische Universität München
Publication Year Institutions
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning2018🇩🇪 Eberhard Karls Universität Tübingen; 🇺🇸 Harvard University; 🇺🇸 Columbia University; 🇩🇪 Max Planck Institute for Biological Cybernetics; 🇩🇪 Bernstein Center for Computational Neuroscience; 🇺🇸 Baylor College of Medicine
Multiple Animals Tracking in VideoUsing Part Affinity Fields2018🇵🇷 University of Puerto Rico
The development of honey bee coloniesassessed using a new semi-automated broodcounting method: CombCount2018🇦🇺 Macquarie University; 🇦🇺 Queensland University of Technology; 🇺🇸 Carl Hayden Bee Research Center
Towards dense object tracking in a 2D honeybee hive2018🇯🇵 Okinawa Institute of Science and Technology Graduate University; 🇳🇱 VU University Amsterdam
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence2018🇩🇪 Freie Universität Berlin; 🇩🇪 University of Konstanz; 🇩🇪 Robert Koch Institute; 🇺🇸 Auburn University; 🇺🇸 University of Hohenheim