Summary
- Product area key:
gate-tracker - Total papers: 24
- Research papers hub
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Topics
- Bee Behaviour (17)
- Computer Vision (23)
- Datasets Benchmarks (5)
- Edge AI Energy (1)
- IoT Sensors (2)
- Pollination Ecology (2)
- Varroa Health (1)
Years
Papers by year
2026
- Continuous Non-Invasive Monitoring of Hive Entrance Activity Reveals Honey Bee Colony Dynamics — 🇹🇷 Van Yüzüncü Yıl University
2025
- Apis mellifera Bee Verification with IoT and Graph Neural Network — 🇲🇽 Instituto Tecnológico El Llano Aguascalientes
- Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance — 🇱🇹 Vilnius Gediminas Technical University
2024
- IntelliBeeHive: An Automated Honey Bee, Pollen, and Varroa Destructor Monitoring System — 🇺🇸 University of Texas Rio Grande Valley
- Keypoint-Based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System — 🇱🇹 Vilnius Gediminas Technical University
2023
- 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
- 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
- Approximation of functions determining colony activity using neural networks. Master thesis — 🇨🇿 Brno University of Technology
- BeeNet: An End-To-End Deep Network For Bee Surveillance — 🇦🇺 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 — 🇱🇹 Vilnius Gediminas Technical University
- Precision Monitoring of Honey Bee (Hymenoptera: Apidae) Activity and Pollen Diversity during Pollination to EvaluateColony Health — 🇦🇺 La Trobe University
- 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
2022
- Automated Video Monitoring of Unmarked and Marked Honey Bees at the Hive Entrance — 🇵🇷 University of Puerto Rico; 🇺🇸 Brown University; 🇺🇸 Howard Hughes Medical Institute (Janelia Research Campus)
- Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision — 🇵🇷 University of Puerto Rico
2021
- BeePIV: A Method to Measure Apis Mellifera Traffic with Particle Image Velocimetry in Videos — 🇺🇸 Utah State University
- Honeybee In-Out Monitoring System by Object Recognition and Tracking from Real-Time Webcams — 🇰🇷 Incheon National University
- On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks — 🇺🇸 Utah State University
2020
- BeeAlarmed. Masters thesis — 🇩🇪 South Westphalia University of Applied Sciences
2019
- DeepBees – Building and Scaling Convolutional Neuronal Nets For Fast and Large-scale Visual Monitoring of Bee Hives — 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai
- LabelBee: a web platform for large-scale semi-automated analysis of honeybee behavior from video — 🇵🇷 University of Puerto Rico
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
- Recognition of Pollen-bearing Bees from Video using Convolutional Neural Network — 🇵🇷 University of Puerto Rico
2017
- Automatic detection and decoding of honey bee waggle dances — 🇩🇪 Freie Universität Berlin
2015
- Automatic methods for long-term tracking and the detection and decoding of communication dances in honeybees — 🇩🇪 Freie Universität Berlin; 🇬🇧 University of Sussex