| Detection and classification of honeybee castes using thermal imaging and deep learning | 2026 | 🇮🇷 Razi University |
| 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 |
| InsectDCT: A generalized pipeline for detection, taxonomic classification, and tracking of insects in camera-trap recordings | 2026 | 🇩🇰 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 | 2026 | 🇫🇷 INRAE; 🇫🇷 CNRS; 🇺🇸 University of California, Berkeley; 🇩🇪 Julius Kühn Institute; 🇩🇪 Technische Universität Braunschweig |
| Spectrogram-Based Deep Learning Models for Acoustic Identification of Honey Bees in Complex Environmental Noises | 2026 | 🇵🇰 Namal University; 🇵🇰 University of Mianwali; 🇦🇪 Abu Dhabi University; 🇹🇷 Nişantaşı University |
| buzzdetect: an open-source deep learning tool for automated bioacoustic pollinator monitoring | 2025 | 🇺🇸 The Ohio State University; 🇺🇸 Dartmouth College |
| 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 |
| UrBAN: Urban Beehive Acoustics and PheNotyping Dataset | 2025 | 🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc. |
| Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring | 2024 | 🇫🇷 University of Toulon |
| Individual honey bee tracking in a beehive environment using deep learning and Kalman filter | 2024 | 🇹🇭 King Mongkut's University of Technology Thonburi (KMUTTH) |
| MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees | 2024 | 🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc. |
| BeeNet: An End-To-End Deep Network For Bee Surveillance | 2023 | 🇦🇺 Australian National University; 🇧🇩 BRAC University; 🇦🇺 Curtin University; 🇦🇺 Commonwealth Scientific and Industrial Research Organisation |
| Labeled dataset for bee detection and direction estimation on entrance to beehive | 2023 | 🇱🇹 Vilnius Gediminas Technical University |
| Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision | 2022 | 🇵🇷 University of Puerto Rico |
| Audio, Image, Video, and Weather Datasets for Continuous Electronic Beehive Monitoring | 2021 | 🇺🇸 Utah State University |
| 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 |
| DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives | 2019 | 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai |
| LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video | 2019 | 🇵🇷 University of Puerto Rico |