| Apis mellifera Bee Verification with IoT and Graph Neural Network | - 🇲🇽 Instituto Tecnológico El Llano Aguascalientes
| 2025 |
| Buzzing with Intelligence: A Systematic Review of Smart Beehive Technologies | | 2025 |
| Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression | | 2025 |
| Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance | - 🇱🇹 Vilnius Gediminas Technical University
| 2025 |
| IoT and Machine Learning Techniques for Precision Beekeeping:A Review | - 🇺🇬 Makerere University
- 🇹🇿 Dar es Salaam Institute of Technology
| 2025 |
| Towards Varroa destructor mite detection using a narrow spectra illumination | - 🇨🇿 Brno University of Technology
| 2025 |
| Transformer Models improve the acoustic recognition of buzz-pollinating bee species | - 🇧🇷 Universidade Federal de Goiás
- 🇺🇸 University of Arizona
- 🇨🇱 Universidad Católica del Maule
| 2025 |
| ⭐️ Deep Edge IoT for Acoustic Detection of Queenless Beehives | - 🇬🇷 Aristotle University of Thessaloniki
| 2025 |
| ⭐️ An AI-Based Open-Source Software for Varroa Mite Fall Analysis in Honeybee Colonies | 🇪🇸 University of Zaragoza 🇪🇸 University of La Rioja 🇪🇸 University of Valencia | 2025 |
| Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring | 🇫🇷 University of Toulouse | 2024 |
| Advances in Beehive Monitoring Systems: Low-Cost Integrating Sensor Technology forImproved Apiculture Management | - 🇷🇴 Research and Development Institute for Wildlife and Mountain Resources Miercurea Ciuc
- 🇷🇴 Sapientia Hungarian University of Transylvania
- 🇷🇴 National Institute for Research and Development in Environmental Protection
- 🇷🇴 National Institute for Research and Development in Forestry "Marin Dracea"
| 2024 |
| Honey bulk DNA metagenomic analysis to identify honey biological | - 🇪🇪 Celvia CC AS
- 🇪🇪 University of Tartu
- 🇸🇪 Karolinska University Hospital
| 2024 |
| Internet of Things Smart Beehive Network: Homogeneous Data,Modeling, and Forecasting the Honey Robbing Phenomenon | - 🇵🇱 Warsaw University of Life Sciences
| 2024 |
| Keypoint-Based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System | - 🇱🇹 Vilnius Gediminas Technical University
| 2024 |
| Mapping Crop Types for Beekeepers Using Sentinel-2 Satellite Image Time Series: Five Essential Crops in the Pollination Services | - 🇨🇦 Université de Montréal
| 2024 |
| Open Remote Web Lab for Learning Robotics and ROS With Physical and Simulated Robots in an Authentic Developer Environment | | 2024 |
| Towards Robotic Mapping of a Honeybee Comb | - 🇨🇿 Czech Technical University
- 🇬🇧 Durham University
- 🇦🇹 University of Graz
| 2024 |
| The Use of Products with a Monitoring System for Remote Bee Detection in Beekeeping in Czechia | - 🇨🇿 Brno University of Technology
| 2024 |
| Varroa destructor detection on honey bees using hyperspectral imagery | - 🇨🇿 Brno University of Technology
- 🇫🇮 LUT University
| 2024 |
| Tracking Varroa Parasitism Using Handheld Infrared Cameras:Is Eusocial Fever the Key? | - 🇭🇺 Hungarian University of Agricultureand Life Sciences
| 2024 |
| Beehive Smart Detector Device for the Detection of CriticalConditions That Utilize Edge Device Computations and DeepLearning Inferences | - 🇬🇷 University of Ioannina
| 2024 |
| Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots | - 🇨🇿 Czech Technical University
- 🇦🇹 University of Graz
- 🇬🇧 Durham University
- 🇹🇷 Middle East Technical University
| 2024 |
| Accuracy vs. Energy: An Assessment of Bee Object Inference inVideos from On-Hive Video Loggers with YOLOv3,YOLOv4-Tiny, and YOLOv7-Tiny | | 2023 |
| Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and Energy Efficiency | | 2023 |
| Approximation of functions determining colony activity using neural networks. Master thesis | - 🇨🇿 Brno University of Technology
| 2023 |
| The Be-Hive Project - Counting Bee Traffic based on Deep Learning and Pose Estimation | - 🇨🇾 CYENS Centre of Excellence
- 🇨🇾 Cyprus University of Technology
- 🇳🇱 University of Twente
| 2023 |
| BeeNet: An End-To-End Deep Network For Bee Surveillance | - 🇦🇺 Australian National University
- 🇧🇩 BRAC University
- 🇦🇺 Curtin University
- 🇦🇺 Commonwealth Scientific and Industrial Research Organisation
| 2023 |
| Bee colony remote monitoring based on IoT using ESP-NOW protocol | - 🇱🇻 Latvia University of Life Sciences and Technologies
| 2023 |
| Comparing weight dynamics between urban and rural honeybee colonies in Latvia | - 🇱🇻 Latvia University of Life Sciences and Technologies
| 2023 |
| Honey bees modify plantpollinator network structure | | 2023 |
| Identifying Queenlessness in Honeybee Hives from Audio Signals Using Machine Learning | | 2023 |
| Importance of GIS solutions for beekeepers: a review | - 🇱🇻 Latvia University of Life Sciences and Technologies
| 2023 |
| HiveLink – IoT based Smart Bee Hive MonitoringSystem | - 🇮🇳 St. Joseph Engineering College
- 🇮🇳 Canara Engineering College
| 2023 |
| Labeled dataset for bee detection and direction estimation on entrance to beehive | - 🇱🇹 Vilnius Gediminas Technical University
| 2023 |
| Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey | - 🇨🇿 Brno University of Technology
| 2023 |
| Pollinators as Data Collectors Estimating Floral Diversity with Bees and Computer Vision | - | 2023 |
| Raspberry Pi Bee Health Monitoring Device | - 🇨🇿 Brno University of Technology
| 2023 |
| Precision Beekeeping Systems: State of the Art, Pros and Cons, and Their Application as Tools for Advancing theBeekeeping Sector | - 🇮🇹 University of Tuscia
- 🇮🇹 University of Napoli Federico II
| 2023 |
| Precision Monitoring of Honey Bee (Hymenoptera: Apidae) Activity and Pollen Diversity during Pollination to EvaluateColony Health | | 2023 |
| Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces | - 🇲🇽 Universidad Politécnica de Tulancingo
| 2023 |
| Defined exposure of honey bee colonies to simulated radiofrequency electromagnetic fields (RF-EMF): Negative effects on the homing ability, butn ot on brood development or longevity | - 🇩🇪 University of Hohenheim
- 🇩🇪 Karlsruhe Institute of Technology
| 2023 |
| A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees | - 🇦🇹 University of Graz
- 🇨🇿 Czech Technical University
- 🇹🇷 Middle East Technical University
| 2022 |
| Digital Transformation of Beekeeping through the Use of a Decision Making Architecture | - 🇫🇷 Efrei Research Lab
- 🇫🇷 PSL University
| 2022 |
| Evaluation of the honey bee colonies weight gain during theintensive foraging period | - 🇱🇻 Latvia University of Life Sciences and Technologies
| 2022 |
| Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision | - 🇵🇷 University of Puerto Rico
| 2022 |
| 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 |
| Smart Beehive Monitoring for Remote Regions - PhD thesis | - 🇦🇺 University of Western Australia
| 2022 |
| SLEAP: A deep learning system for multi-animal pose tracking | - 🇺🇸 Princeton University
- 🇺🇸 New York University
- 🇺🇸 Johns Hopkins University School of Medicine
| 2022 |
| Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance | - 🇵🇷 University of Puerto Rico
| 2022 |
| Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring | | 2021 |
| BeePIV: A Method to Measure Apis Mellifera Traffic with Particle Image Velocimetry in Videos | | 2021 |
| Honeybee In-Out Monitoring System by Object Recognition and Tracking from Real-Time Webcams | - 🇰🇷 Incheon National University
| 2021 |
| On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks | | 2021 |
| Self-Powered Smart Beehive Monitoring and ControlSystem (SBMaCS) | - 🇷🇼 University of Rwanda
- 🇿🇲 Copperbelt University
- 🇷🇼 National Council of Science and Technology
| 2021 |
| Toward an intelligent and efficient beehive: A survey of precision beekeeping systems and services | - 🇫🇷 aivancity School for Technology
- 🇫🇷 Université de Lyon
| 2021 |
| Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques | - 🇨🇿 Brno University of Technology
| 2021 |
| ⭐️ Markerless tracking of an entire honey bee colony | - 🇯🇵 Okinawa Institute of Science and Technology Graduate University
| 2021 |
| Analysis of Energy Consumption in a Precision Beekeeping System | - | 2020 |
| Current achievements and future developments of a novel AI based visual monitoring of beehives in ecotoxicology and for the monitoring of landscape structures | - | 2020 |
| Model for the bee apiary location evaluation | - 🇱🇻 Latvia University of Life Sciences and Technologies
- 🇩🇪 Humboldt University of Berlin
| 2020 |
| Real-time, low-latency closed-loop feedback using markerless posture tracking | - 🇺🇸 Harvard University
- 🇬🇧 NeuroGEARS Ltd
- 🇺🇸 University of Oregon
- 🇨🇭 Swiss Federal Institute of Technology
| 2020 |
| The prediction of swarming in honeybee colonies using vibrational spectra | - 🇬🇧 Nottingham Trent University
- 🇫🇷 l’Institut National de Recherche en Agriculture
- 🇧🇪 Centre Apicole de Recherche et d’Information
| 2020 |
| ⭐️ Automatic detection and classification of honey bee comb cells using deeplearning | - 🇵🇹 Instituto Politécnico de Bragança
- 🇧🇷 Federal Technological University of Paraná
- 🇫🇷 Université Clermont-Auvergne
| 2020 |
| BeeAlarmed. Masters thesis | - 🇩🇪 South Westphalia University of Applied Sciences
| 2020 |
| Automated monitoring of bee behaviour using connected hives Towards a computational apidology | - | 2019 |
| DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning | - 🇩🇪 Max Planck Institute of Animal Behavior
- 🇩🇪 University of Konstanz
- 🇺🇸 Princeton University
- 🇩🇪 Technische Universität München
| 2019 |
| Modular sensory hardware and data processing solution forimplementation of the precision beekeeping | - 🇱🇻 Latvia University of Life Sciences and Technologies
- 🇩🇪 University of Kassel
| 2019 |
| DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives | - 🇩🇪 Karlsruhe Institute of Technology
| 2019 |
| LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video | - 🇵🇷 University of Puerto Rico
| 2019 |
| A Preliminary Study of Image Analysis forParasite Detection on Honey Bees | - 🇦🇹 Vienna University of Technology
- 🇪🇸 Universidad de Oviedo
- 🇪🇸 Universitat de Barcelona
| 2018 |
| DeepLabCut: markerless pose estimation of user-defined body parts with deep learning | - 🇩🇪 Eberhard Karls Universität Tübingen
- 🇺🇸 Harvard University
- 🇺🇸 Columbia University
- 🇩🇪 Max Planck Institute for Biological Cybernetics
- 🇩🇪 Bernstein Center for Computational Neuroscience
- 🇺🇸 Baylor College of Medicine
| 2018 |
| Honeybees on the move - Pollination services and honey production | - | 2018 |
| Multiple Animals Tracking in VideoUsing Part Affinity Fields | - 🇵🇷 University of Puerto Rico
| 2018 |
| Recognition of Pollen-bearing Bees from Video using Convolutional Neural Network | - 🇵🇷 University of Puerto Rico
| 2018 |
| The development of honey bee coloniesassessed using a new semi-automated broodcounting method: CombCount | - 🇦🇺 Macquarie University
- 🇦🇺 Queensland University of Technology
- 🇺🇸 Carl Hayden Bee Research Center
| 2018 |
| Towards dense object tracking in a 2D honeybee hive | - 🇯🇵 Okinawa Institute of Science and Technology Graduate University
| 2018 |
| Solution for automated bee colony weight monitoring | - 🇱🇻 Latvia University of Agriculture
| 2017 |
| Honey Bee Colonies Remote Monitoring System | | 2016 |
| Reception and learning of electric fields in bees | - 🇩🇪 Freie Universität Berlin
| 2013 |
| Biodiversity conservation and current threats to European honeybees | - 🇪🇸 Universidad de Murcia
- 🇩🇪 Martin-Luther-Universität Halle-Wittenberg
| 2009 |
| Automatic methods for long-term tracking and the detection and decoding of communication dancesin honeybees | - | - |
| Bio-Hybrid Systems for Ecosystem Level Effects | - | - |
| DeepLabCut-based daily behavioural and posture analysis in a cricket | - | - |
| Intelligent beehive monitoring system based on internet of things and colony state analysis | - 🇲🇾 Universiti Teknologi MARA
- 🇨🇳 Peking University Shenzhen Graduate School
- 🇨🇳 Xiamen University
- 🇨🇳 Fujian Agriculture And Forestry University
- 🇨🇳 Quanzhou University of Information Engineering
| - |
| Precision Apiculture – IoT System for Remote Monitoring of Honeybee Colonies | - 🇲🇰 Ss. Cyril and Methodius University
| - |
| Social networks predict the life and death of honeybees | - | - |
| Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence | - | - |
| myBee: An Information System for Precision Beekeeping | - 🇧🇷 State University of Maringa
- 🇧🇷 Federal University of Rio de Janeiro
| - |
| Application of Data Layering in Precision Beekeeping The Concept | - | - |
| Analysis of the Waggle Dance Motion of Honeybees for the Design of a Biomimetic Honeybee Robot | - | - |
| Impact of the precision beekeeping on the living environment | - | - |
| Automatic detection and decoding of honeybee waggle dances | - | - |