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🔬 Research

We want to be aware of recent and historical development in research that is tied to bees, observability and machine learning. We are open to collaboration with research and academic institutions (see our docs for more engineering and ML specific articles).

Here we track research papers that are most relevant. For practical and commercial projects see Competition

Teams

World-wide there are several research teams dealing in the area of digital beekeeping

One-time yet very notable works were also in:

  • 🇯🇵 Okinawa institute of science and tech. Hebert L. + Bozek K.
  • 🇧🇷 Federal Tech University of Parana. Alves T.

Scientific publications

titleorgsyear
Varroa destructor detection on honey bees using hyperspectral imagery
  • 🇨🇿 Brno University of Technology
  • 🇫🇮 LUT University
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
Honey bulk DNA metagenomic analysis to identify honey biological
  • 🇪🇪 Celvia CC AS
  • 🇪🇪 University of Tartu
  • 🇸🇪 Karolinska University Hospital
2024
Accuracy vs. Energy: An Assessment of Bee Object Inference inVideos from On-Hive Video Loggers with YOLOv3,YOLOv4-Tiny, and YOLOv7-Tiny
  • 🇺🇸 Utah State University
2023
Approximation of functions determining colony activity using neural networks. Master thesis
  • 🇨🇿 Brno University of Technology
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
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
  • 🇺🇸 Utah State University
2023
Honey bees modify plantpollinator network structure
  • 🇨🇦 University of Alberta
2023
Identifying Queenlessness in Honeybee Hives from Audio Signals Using Machine Learning
  • 🇬🇧 Kingston University
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
Raspberry Pi Bee Health Monitoring Device
  • 🇨🇿 Brno University of Technology
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
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
  • 🇺🇸 Utah State University
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
  • 🇺🇸 Utah State University
2021
BeePIV: A Method to Measure Apis Mellifera Traffic with Particle Image Velocimetry in Videos
  • 🇺🇸 Utah State University
2021
Honeybee In-Out Monitoring System by Object Recognition and Tracking from Real-Time Webcams
  • 🇰🇷 Incheon National University
2021
Markerless tracking of an entire honey bee colony
  • 🇯🇵 Okinawa Institute of Science and Technology Graduate University
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 inHoneybees Using Object Detector Techniques
  • 🇨🇿 Brno University of Technology
2021
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
⭐️ 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
Honeybees on the move - Pollination services and honey production-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
Biodiversity conservation and current threats to European honeybees
  • 🇪🇸 Universidad de Murcia
  • 🇩🇪 Martin-Luther-Universität Halle-Wittenberg
2009
Reception and learning of electric fields in bees
  • 🇩🇪 Freie Universität Berlin
2013
Multiple Animals Tracking in VideoUsing Part Affinity Fields
  • 🇵🇷 University of Puerto Rico
-
On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks
  • 🇺🇸 Utah State University
-
AgriSound--
AgriPulse--
ApiManager--
ApiaryBook--
BeeHiveMonitoring--
ApiZoom--
BeeLab--
3bee--
BeeHero--
BeeLogger--
BeeSage--
BeeOrganizer--
BeePlus Beekeeping--
Beep--
BeehiveMonitoringUSA--
Broodminder--
Beetight 2--
Competition--
BeePot--
BuzzBox--
Gobuzzr--
HiveBloom--
HiveMind--
HivePulse--
DanNduati IoT-beehive-monitoring-system--
Hackuarium beemos--
InspectNext--
HoneyInstruments--
IntelligentHives--
OSBeehives--
Mjrovai Bee-Counting--
Prohiver--
Solutionbee--
beescanning--
BeeZee--
hivetracks--
i-bee--
io-bee--
vitzaoral beehive_weight--
🇦🇺 Beemate--
🇦🇺 Purple Hive--
beeing--
🇪🇺 RoboRoyale--
🇩🇪 ApicAI--
🇺🇸 Best Bees--
🇨🇦 Nectar--
🇮🇱 Beewise--
BeeAlarmed. Masters thesis
  • 🇩🇪 South Westphalia University of Applied Sciences
-

Other research sources