Сводка
- Год: 2023
- Всего статей: 20
- Центр исследовательских статей
- Все годы
Темы
- Акустика и звук (1)
- Поведение пчёл (8)
- Компьютерное зрение (11)
- Датасеты и бенчмарки (2)
- Edge AI и энергопотребление (1)
- IoT-датчики (7)
- Экология опыления (4)
- Обзоры и систематические обзоры (3)
- Варроа и здоровье (2)
Продуктовые области
- Здоровье колонии (5)
- Gate Tracker (7)
- Платформа мониторинга (8)
Статьи по темам
Акустика и звук
- Identifying Queenlessness in Honeybee Hives from Audio Signals Using Machine Learning - 🇬🇧 Kingston University
Поведение пчёл
- 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
- Comparing weight dynamics between urban and rural honeybee colonies in Latvia - 🇱🇻 Latvia University of Life Sciences and Technologies
- Defined exposure of honey bee colonies to simulated radiofrequency electromagnetic fields (RF-EMF): Negative effects on the homing ability, but not on brood development or longevity - 🇩🇪 University of Hohenheim; 🇩🇪 Karlsruhe Institute of Technology
- Honey bees modify plantpollinator network structure - 🇨🇦 University of Alberta
- Identifying Queenlessness in Honeybee Hives from Audio Signals Using Machine Learning - 🇬🇧 Kingston 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
Компьютерное зрение
- 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
- 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
- Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks - 🇨🇳 Shandong Agriculture University
- Labeled dataset for bee detection and direction estimation on entrance to beehive - 🇱🇹 Vilnius Gediminas Technical University
- Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey - 🇨🇿 Brno University of Technology
- Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision - 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai GmbH
- Precision Monitoring of Honey Bee (Hymenoptera: Apidae) Activity and Pollen Diversity during Pollination to EvaluateColony Health - 🇦🇺 La Trobe University
- Raspberry Pi Bee Health Monitoring Device - 🇨🇿 Brno University of Technology
- 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
- Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces - 🇲🇽 Universidad Politécnica de Tulancingo
Датасеты и бенчмарки
- 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
Edge AI и энергопотребление
- 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
IoT-датчики
- 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
- Bee colony remote monitoring based on IoT using ESP-NOW protocol - 🇱🇻 Latvia University of Life Sciences and Technologies
- Comparing weight dynamics between urban and rural honeybee colonies in Latvia - 🇱🇻 Latvia University of Life Sciences and Technologies
- Defined exposure of honey bee colonies to simulated radiofrequency electromagnetic fields (RF-EMF): Negative effects on the homing ability, but not on brood development or longevity - 🇩🇪 University of Hohenheim; 🇩🇪 Karlsruhe Institute of Technology
- HiveLink - IoT based Smart Bee Hive MonitoringSystem - 🇮🇳 St. Joseph Engineering College; 🇮🇳 Canara Engineering College
- 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
- Raspberry Pi Bee Health Monitoring Device - 🇨🇿 Brno University of Technology
Экология опыления
- Honey bees modify plantpollinator network structure - 🇨🇦 University of Alberta
- Importance of GIS solutions for beekeepers: a review - 🇱🇻 Latvia University of Life Sciences and Technologies
- Pollinators as Data Collectors: Estimating Floral Diversity with Bees and Computer Vision - 🇩🇪 Karlsruhe Institute of Technology; 🇩🇪 apic.ai GmbH
- Precision Monitoring of Honey Bee (Hymenoptera: Apidae) Activity and Pollen Diversity during Pollination to EvaluateColony Health - 🇦🇺 La Trobe University
Обзоры и систематические обзоры
- Importance of GIS solutions for beekeepers: a review - 🇱🇻 Latvia University of Life Sciences and Technologies
- Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A Survey - 🇨🇿 Brno University of Technology
- 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
Варроа и здоровье
- Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks - 🇨🇳 Shandong Agriculture University
- Varroa Destructor Classification Using Legendre Fourier Moments with Different Color Spaces - 🇲🇽 Universidad Politécnica de Tulancingo