| A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies | 2026 | 🇺🇸 Green Valley High School |
| Continuous Non-Invasive Monitoring of Hive Entrance Activity Reveals Honey Bee Colony Dynamics | 2026 | 🇹🇷 Van Yüzüncü Yıl University |
| Deep Learning and Computer Vision for Honey Bee Health Monitoring: A Systematic Survey and Future Directions | 2026 | 🇮🇳 SSVPS's Bapusaheb Shivajirao Deore College of Engineering |
| Estimating colony strength and pollination efficiency in honey bees using a novel dataset and deep learning-based models | 2026 | 🇺🇸 University of Arkansas at Fayetteville; 🇺🇸 Washington State University; 🇺🇸 University of Arkansas System; 🇺🇸 Mississippi State University; 🇺🇸 University of Tennessee at Knoxville |
| FAIRHiveFrames-1K: A Public FAIR Dataset of 1265 Annotated Hive Frame Images with Preliminary YOLOv8 and YOLOv11 Baselines | 2026 | 🇺🇸 Utah State University |
| Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching | 2026 | 🇯🇵 Utsunomiya University |
| Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis | 2026 | 🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences |
| M3DANet: A Lightweight Semi-Supervised Network and Embedded System for Bee Colony Counting | 2026 | 🇨🇳 Shandong Agricultural University; 🇨🇳 Apiculture Institute of Jiangxi Province |
| Physics-aware vision instrumentation for stingless bee counting at hive entrance using hybrid edge-cloud object detection | 2026 | 🇲🇾 Universiti Teknologi Malaysia; 🇮🇩 Universitas Negeri Jakarta; 🇮🇩 Institut Teknologi Indonesia; 🇮🇩 Politeknik Negeri Bandung; 🇮🇩 National Research and Innovation Agency |
| The Relevance of Compound Events in Bee Traffic Monitoring | 2026 | 🇵🇷 University of Puerto Rico at Río Piedras |
| Transforming Beekeeping Through Technology: A Systematic Review of Precision Beekeeping | 2026 | 🇧🇳 Universiti Brunei Darussalam; 🇱🇰 Uva Wellassa University |
| An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping | 2025 | 🇮🇹 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 Colonies | 2025 | 🇪🇸 University of Zaragoza; 🇪🇸 University of La Rioja; 🇪🇸 University of Valencia |
| Apis mellifera Bee Verification with IoT and Graph Neural Network | 2025 | 🇲🇽 Instituto Tecnológico El Llano Aguascalientes |
| Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression | 2025 | 🇹🇭 Chiang Mai University |
| Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance | 2025 | 🇱🇹 Vilnius Gediminas Technical University |
| Fast, accurate measurement of the worker populations of honey bee colonies using deep learning | 2025 | 🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville |
| Image-based honey bee larval viral and bacterial diagnosis using machine learning | 2025 | 🇺🇸 USDA Carl Hayden Bee Research Center; 🇺🇸 University of Arizona; 🇺🇸 Arizona Science Center |
| Towards Varroa destructor mite detection using a narrow spectra illumination | 2025 | 🇨🇿 Brno University of Technology |
| Visual recognition of honeybee behavior patterns at the hive entrance | 2025 | 🇱🇹 Vilnius Gediminas Technical University |
| Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots | 2024 | 🇨🇿 Czech Technical University; 🇦🇹 University of Graz; 🇬🇧 Durham University; 🇹🇷 Middle East Technical University |
| Beehive Smart Detector Device for the Detection of CriticalConditions That Utilize Edge Device Computations and DeepLearning Inferences | 2024 | 🇬🇷 University of Ioannina |
| Current Status and Future Outlooks of Precision Beekeeping Systems and Services | 2024 | 🇸🇰 Slovak University of Agriculture in Nitra |
| Individual honey bee tracking in a beehive environment using deep learning and Kalman filter | 2024 | 🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH) |
| IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System | 2024 | 🇺🇸 University of Texas Rio Grande Valley |
| Intelligent beehive monitoring system based on internet of things and colony state analysis | 2024 | 🇲🇾 Universiti Teknologi MARA; 🇨🇳 Peking University Shenzhen Graduate School; 🇨🇳 Xiamen University; 🇨🇳 Fujian Agriculture And Forestry University; 🇨🇳 Quanzhou University of Information Engineering |
| Keypoint-Based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System | 2024 | 🇱🇹 Vilnius Gediminas Technical University |
| Mapping Crop Types for Beekeepers Using Sentinel-2 Satellite Image Time Series: Five Essential Crops in the Pollination Services | 2024 | 🇨🇦 Université de Montréal |
| Towards Robotic Mapping of a Honeybee Comb | 2024 | 🇨🇿 Czech Technical University; 🇬🇧 Durham University; 🇦🇹 University of Graz |
| Varroa destructor detection on honey bees using hyperspectral imagery | 2024 | 🇨🇿 Brno University of Technology; 🇫🇮 LUT University |
| Accuracy vs. Energy: An Assessment of Bee Object Inference inVideos from On-Hive Video Loggers with YOLOv3,YOLOv4-Tiny, and YOLOv7-Tiny | 2023 | 🇺🇸 Utah State University |
| Approximation of functions determining colony activity using neural networks. Master thesis | 2023 | 🇨🇿 Brno University of Technology |
| BeeNet: An End-To-End Deep Network For Bee Surveillance | 2023 | 🇦🇺 Australian National University; 🇧🇩 BRAC University; 🇦🇺 Curtin University; 🇦🇺 Commonwealth Scientific and Industrial Research Organisation |
| Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks | 2023 | 🇨🇳 Shandong Agriculture University |
| Labeled dataset for bee detection and direction estimation on entrance to beehive | 2023 | 🇱🇹 Vilnius Gediminas Technical University |
| Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey | 2023 | 🇨🇿 Brno University of Technology |
| Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision | 2023 | 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai GmbH |
| Precision Monitoring of Honey Bee (Hymenoptera: Apidae) Activity and Pollen Diversity during Pollination to EvaluateColony Health | 2023 | 🇦🇺 La Trobe University |
| Raspberry Pi Bee Health Monitoring Device | 2023 | 🇨🇿 Brno University of Technology |
| Recognizing Beehives’ Health Abnormalities Based on Mobile Net Deep Learning Model | 2023 | 🇪🇬 Egyptian Russian University; 🇪🇬 Cairo University; 🇪🇬 Tanta University; 🇪🇬 Scientific Research Group in Egypt |
| The Be-Hive Project - Counting Bee Traffic based on Deep Learning and Pose Estimation | 2023 | 🇨🇾 CYENS Centre of Excellence; 🇨🇾 Cyprus University of Technology; 🇳🇱 University of Twente |
| Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces | 2023 | 🇲🇽 Universidad Politécnica de Tulancingo |
| Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance | 2022 | 🇵🇷 University of Puerto Rico; 🇺🇸 Brown University; 🇺🇸 Howard Hughes Medical Institute (Janelia Research Campus) |
| Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite | 2022 | 🇬🇷 University of Ioannina |
| Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision | 2022 | 🇵🇷 University of Puerto Rico |
| Integration of Scales and Cameras in Nondisruptive ElectronicBeehive Monitoring: On the Within-Day Relationship of HiveWeight and Traffic in Honeybee (Apis mellifera) Colonies in Langstroth Hives in Tucson, Arizona, USA | 2022 | 🇺🇸 Utah State University |
| SLEAP: A deep learning system for multi-animal pose tracking | 2022 | 🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine |
| BeePIV: A Method to Measure Apis Mellifera Traffic with Particle Image Velocimetry in Videos | 2021 | 🇺🇸 Utah State University |
| DeepLabCut-based daily behavioural and posture analysis in a cricket | 2021 | 🇯🇵 Waseda University |
| Honeybee In-Out Monitoring System by Object Recognition and Tracking from Real-Time Webcams | 2021 | 🇰🇷 Incheon National University |
| Markerless tracking of an entire honey bee colony | 2021 | 🇯🇵 Okinawa Institute of Science and Technology Graduate University; 🇦🇺 Australian National University; 🇳🇱 Vrije Universiteit Amsterdam |
| On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks | 2021 | 🇺🇸 Utah State University |
| Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques | 2021 | 🇨🇿 Brno University of Technology |
| Automatic detection and classification of honey bee comb cells using deep learning | 2020 | 🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne |
| BeeAlarmed. Masters thesis | 2020 | 🇩🇪 South Westphalia University of Applied Sciences |
| Current achievements and future developments of a novel AI based visual monitoring of beehives in ecotoxicology and for the monitoring of landscape structures | 2020 | 🇩🇪 apic.ai GmbH |
| Real-time, low-latency closed-loop feedback using markerless posture tracking | 2020 | 🇺🇸 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 Hives | 2019 | 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai |
| DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning | 2019 | 🇩🇪 Max Planck Institute of Animal Behavior; 🇩🇪 University of Konstanz; 🇺🇸 Princeton University; 🇩🇪 Technische Universität München |
| LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video | 2019 | 🇵🇷 University of Puerto Rico |
| A Preliminary Study of Image Analysis forParasite Detection on Honey Bees | 2018 | 🇦🇹 Vienna University of Technology; 🇪🇸 Universidad de Oviedo; 🇪🇸 Universitat de Barcelona |
| DeepLabCut: markerless pose estimation of user-defined body parts with deep learning | 2018 | 🇩🇪 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 Fields | 2018 | 🇵🇷 University of Puerto Rico |
| Recognition of Pollen-bearing Bees from Video using Convolutional Neural Network | 2018 | 🇵🇷 University of Puerto Rico |
| The development of honey bee coloniesassessed using a new semi-automated broodcounting method: CombCount | 2018 | 🇦🇺 Macquarie University; 🇦🇺 Queensland University of Technology; 🇺🇸 Carl Hayden Bee Research Center |
| Towards dense object tracking in a 2D honeybee hive | 2018 | 🇯🇵 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 Correspondence | 2018 | 🇩🇪 Freie Universität Berlin; 🇩🇪 University of Konstanz; 🇩🇪 Robert Koch Institute; 🇺🇸 Auburn University; 🇺🇸 University of Hohenheim |
| Automatic detection and decoding of honey bee waggle dances | 2017 | 🇩🇪 Freie Universität Berlin |
| Pollen Bearing Honey Bee Detection in Hive Entrance Video Recorded by Remote Embedded System for Pollination Monitoring | 2016 | 🇧🇦 University of Banja Luka |
| Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees | 2015 | 🇩🇪 Freie Universität Berlin; 🇬🇧 University of Sussex |
