Research papers from 2026

Summary

Year: 2026
Total papers: 46
Research papers hub
All years

Topics

Product areas

Papers by topic

Audio Acoustics

A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies — 🇺🇸 Green Valley High School
Acoustic Signatures of Hive: Detecting Queen Bee Absence Through Machine Learning of Short Audio Segments — 🇨🇱 Universidad de Viña del Mar; 🇨🇱 Universidad Técnica Federico Santa María
BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects — 🇬🇧 University of Oxford; 🇬🇧 Queen Mary University of London; 🇬🇧 University of Edinburgh
BeeVe: Unsupervised Acoustic State Discovery in Honey Bee Buzzing — 🇺🇳 arXiv author-supplied preprint by Hamze Hammami and Nidhal Abdulaziz
BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications — 🇨🇦 Institut national de la recherche scientifique (INRS)
Communication-efficient Embedded FFT Processing for Acoustic Telemetry in LPWAN-based Beehive Monitoring Systems — 🇵🇱 Lodz University of Technology
Development of Wingbeat-Based Acoustic Health Monitoring System for Bee Colonies — 🇹🇼 National Formosa University
Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
Label-free acoustic monitoring of honeybee swarming: An unsupervised online learning approach — 🇩🇿 Djillali Liabes University
Multimodal beehive weight forecasting using IoT telemetry and acoustic signal processing — 🇵🇱 Lodz University of Technology; 🇬🇧 Coventry University
On the Prediction of Varroa Mite Infestations in Honeybee Colonies via Acoustic Monitoring — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Nectar Technologies Inc.; 🇨🇦 Université Laval
On-device deep learning for real-time acoustic monitoring of endangered Bombus dahlbomii and invasive congeners — 🇺🇸 Massachusetts Institute of Technology; 🇯🇵 Kioxia Corporation; 🇨🇭 ETH Zurich; 🇦🇷 INIBIOMA, Universidad Nacional del Comahue and CONICET
Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises — 🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University

Bee Behaviour

A Hall-Effect Sensor-Based Queen Bee Detection System – a Proof of Concept — 🇵🇱 AGH University of Krakow; 🇵🇱 Wrocław University of Science and Technology
Acoustic Signatures of Hive: Detecting Queen Bee Absence Through Machine Learning of Short Audio Segments — 🇨🇱 Universidad de Viña del Mar; 🇨🇱 Universidad Técnica Federico Santa María
An open-source high-precision hive for long-term honeybee observation and research — 🇨🇿 Czech Technical University in Prague; 🇦🇹 University of Graz
Assessing Honey Bee Colony Health Using Temperature Time Series — 🇦🇺 The University of Sydney; 🇦🇺 Macquarie University
BeeVe: Unsupervised Acoustic State Discovery in Honey Bee Buzzing — 🇺🇳 arXiv author-supplied preprint by Hamze Hammami and Nidhal Abdulaziz
COMB: Common Open Modular robotic platform for Bees — 🇩🇪 University of Konstanz; 🇩🇪 Freie Universität Berlin
Continuous Non-Invasive Monitoring of Hive Entrance Activity Reveals Honey Bee Colony Dynamics — 🇹🇷 Van Yüzüncü Yıl University
Detection and classification of honeybee castes using thermal imaging and deep learning — 🇮🇷 Razi University
Estimating colony strength and pollination efficiency in honey bees using a novel dataset and deep learning-based models — 🇺🇸 University of Arkansas at Fayetteville; 🇺🇸 Washington State University; 🇺🇸 University of Arkansas System; 🇺🇸 Mississippi State University; 🇺🇸 University of Tennessee at Knoxville
Label-free acoustic monitoring of honeybee swarming: An unsupervised online learning approach — 🇩🇿 Djillali Liabes University
Physics-aware vision instrumentation for stingless bee counting at hive entrance using hybrid edge-cloud object detection — 🇲🇾 Universiti Teknologi Malaysia; 🇮🇩 Universitas Negeri Jakarta; 🇮🇩 Institut Teknologi Indonesia; 🇮🇩 Politeknik Negeri Bandung; 🇮🇩 National Research and Innovation Agency

Bee Counting

Bee Detection and Tracking at Hive Entrance using YOLO11 and ByteTrack — 🇫🇮 Savonia University of Applied Sciences; 🇩🇪 Ostbayerische Technische Hochschule Regensburg
Honeybee Counting on Comb Images via Part-Level Annotation and Hungarian Matching — 🇯🇵 Utsunomiya University

Bee Traffic

Bee Detection and Tracking at Hive Entrance using YOLO11 and ByteTrack — 🇫🇮 Savonia University of Applied Sciences; 🇩🇪 Ostbayerische Technische Hochschule Regensburg
Machine Vision-Based Quantification of Colony-Level Homing Adaptation in Apis mellifera Following Hive Entrance Displacement — 🇨🇳 Agricultural Information Institute, Chinese Academy of Agricultural Sciences; 🇨🇳 Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs
The Relevance of Compound Events in Bee Traffic Monitoring — 🇵🇷 University of Puerto Rico at Río Piedras

Behavior Recognition

BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects — 🇬🇧 University of Oxford; 🇬🇧 Queen Mary University of London; 🇬🇧 University of Edinburgh
Digital Monitoring and Modeling of Honey Bee Foraging on Clover Flowers Under Heat Stress — 🇺🇸 Oregon State University
Low-latency multicamera 3D tracking of insects with Braid — 🇩🇪 University of Freiburg; 🇩🇪 Bernstein Center Freiburg
Machine Vision-Based Quantification of Colony-Level Homing Adaptation in Apis mellifera Following Hive Entrance Displacement — 🇨🇳 Agricultural Information Institute, Chinese Academy of Agricultural Sciences; 🇨🇳 Key Laboratory of Agricultural Blockchain Application, Ministry of Agriculture and Rural Affairs
The Relevance of Compound Events in Bee Traffic Monitoring — 🇵🇷 University of Puerto Rico at Río Piedras

Datasets Benchmarks

Annotation Versioning and Cross-Collection Generalization in Varroa Mite Counting
BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects — 🇬🇧 University of Oxford; 🇬🇧 Queen Mary University of London; 🇬🇧 University of Edinburgh
Detection and classification of honeybee castes using thermal imaging and deep learning — 🇮🇷 Razi University
Estimating colony strength and pollination efficiency in honey bees using a novel dataset and deep learning-based models — 🇺🇸 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 — 🇺🇸 Utah State University
InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings — 🇩🇰 Aarhus University; 🇩🇪 Helmholtz Centre for Environmental Research; 🇪🇸 Mediterranean Institute for Advanced Studies; 🇬🇪 Ilia State University
PolliCrop: A high-throughput computer vision pipeline for pollinator monitoring in agroecosystems — 🇫🇷 INRAE; 🇫🇷 CNRS; 🇺🇸 University of California, Berkeley; 🇩🇪 Julius Kühn Institute; 🇩🇪 Technische Universität Braunschweig
Small-Pollinator Detection in Cluttered Field Video — 🇺🇸 Iowa State University; 🇺🇸 University of Central Florida
Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises — 🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer — 🇰🇷 Ulsan National Institute of Science and Technology (UNIST)

Edge AI Energy

A Wireless Sensor Platform for Beehive Monitoring — 🇺🇸 North Dakota State University; 🇺🇸 USDA Agricultural Research Service
Adaptive Measurement Noise for Robust Kalman Filtering in Smart Beehive Telemetry — 🇬🇧 University of Westminster; 🇲🇾 Technical University of Malaysia Malacca; 🇫🇮 University of Oulu
An Automated AI-Based Vision Inspection System for Bee Mite and Deformed Bee Detection Using YOLO Models — 🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences; 🇰🇷 Terramolab Ltd.
An intelligent monitoring system for forecasting and anomaly detection in precision beekeeping — 🇫🇷 EFREI Research Lab; 🇫🇷 Université Paris-Panthéon-Assas
BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications — 🇨🇦 Institut national de la recherche scientifique (INRS)
Communication-efficient Embedded FFT Processing for Acoustic Telemetry in LPWAN-based Beehive Monitoring Systems — 🇵🇱 Lodz University of Technology
InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings — 🇩🇰 Aarhus University; 🇩🇪 Helmholtz Centre for Environmental Research; 🇪🇸 Mediterranean Institute for Advanced Studies; 🇬🇪 Ilia State University
Label-free acoustic monitoring of honeybee swarming: An unsupervised online learning approach — 🇩🇿 Djillali Liabes University
M3DANet: A Lightweight Semi-Supervised Network and Embedded System for Bee Colony Counting — 🇨🇳 Shandong Agricultural University; 🇨🇳 Apiculture Institute of Jiangxi Province
Multimodal beehive weight forecasting using IoT telemetry and acoustic signal processing — 🇵🇱 Lodz University of Technology; 🇬🇧 Coventry University
On-device deep learning for real-time acoustic monitoring of endangered Bombus dahlbomii and invasive congeners — 🇺🇸 Massachusetts Institute of Technology; 🇯🇵 Kioxia Corporation; 🇨🇭 ETH Zurich; 🇦🇷 INIBIOMA, Universidad Nacional del Comahue and CONICET
Physics-aware vision instrumentation for stingless bee counting at hive entrance using hybrid edge-cloud object detection — 🇲🇾 Universiti Teknologi Malaysia; 🇮🇩 Universitas Negeri Jakarta; 🇮🇩 Institut Teknologi Indonesia; 🇮🇩 Politeknik Negeri Bandung; 🇮🇩 National Research and Innovation Agency
Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises — 🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University
Technical Specification of a Novel Apivoltaic System: Integrating Digital Hive Monitoring with Photovoltaic Energy Systems — 🇷🇴 University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca; 🇷🇴 APIVOLT S.R.L.; 🇮🇹 University of Molise

IoT Sensors

A Hall-Effect Sensor-Based Queen Bee Detection System – a Proof of Concept — 🇵🇱 AGH University of Krakow; 🇵🇱 Wrocław University of Science and Technology
A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies — 🇺🇸 Green Valley High School
A Wireless Sensor Platform for Beehive Monitoring — 🇺🇸 North Dakota State University; 🇺🇸 USDA Agricultural Research Service
Adaptive Measurement Noise for Robust Kalman Filtering in Smart Beehive Telemetry — 🇬🇧 University of Westminster; 🇲🇾 Technical University of Malaysia Malacca; 🇫🇮 University of Oulu
An intelligent monitoring system for forecasting and anomaly detection in precision beekeeping — 🇫🇷 EFREI Research Lab; 🇫🇷 Université Paris-Panthéon-Assas
Assessing Honey Bee Colony Health Using Temperature Time Series — 🇦🇺 The University of Sydney; 🇦🇺 Macquarie University
BioME: A Resource-Efficient Bioacoustic Foundational Model for IoT Applications — 🇨🇦 Institut national de la recherche scientifique (INRS)
Communication-efficient Embedded FFT Processing for Acoustic Telemetry in LPWAN-based Beehive Monitoring Systems — 🇵🇱 Lodz University of Technology
Development of Wingbeat-Based Acoustic Health Monitoring System for Bee Colonies — 🇹🇼 National Formosa University
From Hive Sensors to Environmental DNA: Toward a Systems Biology Framework for Honeybee-Based Early Warning of Colony and Ecosystem Health — 🇨🇳 Yangzhou University; 🇸🇦 Imam Mohammad Ibn Saud Islamic University
Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
Multimodal beehive weight forecasting using IoT telemetry and acoustic signal processing — 🇵🇱 Lodz University of Technology; 🇬🇧 Coventry University
STAG-CN: Spatio-Temporal Apiary Graph Convolutional Network for Disease Onset Prediction in Beehive Sensor Networks — 🇰🇷 Korea University
Technical Specification of a Novel Apivoltaic System: Integrating Digital Hive Monitoring with Photovoltaic Energy Systems — 🇷🇴 University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca; 🇷🇴 APIVOLT S.R.L.; 🇮🇹 University of Molise
Time-series dataset of honey bee colony dynamics before, during, and after sunflower pollination — 🇺🇦 AmoHive / Ukraine smart-hive deployment
Transforming Beekeeping Through Technology: A Systematic Review of Precision Beekeeping — 🇧🇳 Universiti Brunei Darussalam; 🇱🇰 Uva Wellassa University

Pollination Ecology

InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings — 🇩🇰 Aarhus University; 🇩🇪 Helmholtz Centre for Environmental Research; 🇪🇸 Mediterranean Institute for Advanced Studies; 🇬🇪 Ilia State University
PolliCrop: A high-throughput computer vision pipeline for pollinator monitoring in agroecosystems — 🇫🇷 INRAE; 🇫🇷 CNRS; 🇺🇸 University of California, Berkeley; 🇩🇪 Julius Kühn Institute; 🇩🇪 Technische Universität Braunschweig

Pollination Monitoring

Digital Monitoring and Modeling of Honey Bee Foraging on Clover Flowers Under Heat Stress — 🇺🇸 Oregon State University
On-device deep learning for real-time acoustic monitoring of endangered Bombus dahlbomii and invasive congeners — 🇺🇸 Massachusetts Institute of Technology; 🇯🇵 Kioxia Corporation; 🇨🇭 ETH Zurich; 🇦🇷 INIBIOMA, Universidad Nacional del Comahue and CONICET
Small-Pollinator Detection in Cluttered Field Video — 🇺🇸 Iowa State University; 🇺🇸 University of Central Florida
Time-series dataset of honey bee colony dynamics before, during, and after sunflower pollination — 🇺🇦 AmoHive / Ukraine smart-hive deployment
Where Is the Bee? Detecting Tiny Pollinators with a Single Collaborative-Head Transformer — 🇰🇷 Ulsan National Institute of Science and Technology (UNIST)

Precision Beekeeping

A Wireless Sensor Platform for Beehive Monitoring — 🇺🇸 North Dakota State University; 🇺🇸 USDA Agricultural Research Service
An open-source high-precision hive for long-term honeybee observation and research — 🇨🇿 Czech Technical University in Prague; 🇦🇹 University of Graz
Communication-efficient Embedded FFT Processing for Acoustic Telemetry in LPWAN-based Beehive Monitoring Systems — 🇵🇱 Lodz University of Technology
Improved Monitoring of Honey bee Colony Strength via Audio IoT Sensors, Modulation Tensorgrams and Recurrent Neural Networks — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.
On the Prediction of Varroa Mite Infestations in Honeybee Colonies via Acoustic Monitoring — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Nectar Technologies Inc.; 🇨🇦 Université Laval
Precision Apiculture with Artificial Intelligence: A Survey of Methods, Tools, and Future Directions — 🇵🇱 AGH University of Krakow; 🇱🇻 Latvia University of Life Sciences and Technologies
Technical Specification of a Novel Apivoltaic System: Integrating Digital Hive Monitoring with Photovoltaic Energy Systems — 🇷🇴 University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca; 🇷🇴 APIVOLT S.R.L.; 🇮🇹 University of Molise
Time-series dataset of honey bee colony dynamics before, during, and after sunflower pollination — 🇺🇦 AmoHive / Ukraine smart-hive deployment
Transforming Beekeeping Through Technology: A Systematic Review of Precision Beekeeping — 🇧🇳 Universiti Brunei Darussalam; 🇱🇰 Uva Wellassa University

Reviews Surveys

Deep Learning and Computer Vision for Honey Bee Health Monitoring: A Systematic Survey and Future Directions — 🇮🇳 SSVPS's Bapusaheb Shivajirao Deore College of Engineering
From Hive Sensors to Environmental DNA: Toward a Systems Biology Framework for Honeybee-Based Early Warning of Colony and Ecosystem Health — 🇨🇳 Yangzhou University; 🇸🇦 Imam Mohammad Ibn Saud Islamic University
Precision Apiculture with Artificial Intelligence: A Survey of Methods, Tools, and Future Directions — 🇵🇱 AGH University of Krakow; 🇱🇻 Latvia University of Life Sciences and Technologies
Transforming Beekeeping Through Technology: A Systematic Review of Precision Beekeeping — 🇧🇳 Universiti Brunei Darussalam; 🇱🇰 Uva Wellassa University

Robotics

COMB: Common Open Modular robotic platform for Bees — 🇩🇪 University of Konstanz; 🇩🇪 Freie Universität Berlin
Low-latency multicamera 3D tracking of insects with Braid — 🇩🇪 University of Freiburg; 🇩🇪 Bernstein Center Freiburg

Varroa Health

A Multimodal Machine Learning System for Non-Invasive Detection of Varroa destructor Infestations in Honey Bee Colonies — 🇺🇸 Green Valley High School
An Automated AI-Based Vision Inspection System for Bee Mite and Deformed Bee Detection Using YOLO Models — 🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences; 🇰🇷 Terramolab Ltd.
Annotation Versioning and Cross-Collection Generalization in Varroa Mite Counting
Interpretable Deep Learning for Varroa Mite Detection: Integrating Deblurring, Morphology-Preserving Preprocessing, and Explainability Analysis — 🇰🇷 Kangwon National University; 🇰🇷 National Institute of Agricultural Sciences
On the Prediction of Varroa Mite Infestations in Honeybee Colonies via Acoustic Monitoring — 🇨🇦 Institut national de la recherche scientifique (INRS); 🇨🇦 Nectar Technologies Inc.; 🇨🇦 Université Laval
Technical Specification of a Novel Apivoltaic System: Integrating Digital Hive Monitoring with Photovoltaic Energy Systems — 🇷🇴 University of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca; 🇷🇴 APIVOLT S.R.L.; 🇮🇹 University of Molise

Research papers from 2026

Summary

Topics

Product areas

Papers by topic

Navigate the research collection