Исследовательские статьи 2022 года

- Год: 2022

Статьи Модели

Сводка

Темы

Продуктовые области

Статьи по темам

Поведение пчёл

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees — 🇦🇹 University of Graz; 🇨🇿 Czech Technical University; 🇹🇷 Middle East Technical University
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)
Bio-Hybrid Systems for Ecosystem Level Effects — 🇦🇹 University of Graz; 🇩🇪 Humboldt University of Berlin; 🇨🇭 École Polytechnique Fédérale de Lausanne; 🇩🇪 Freie Universität Berlin; 🇱🇻 Latvia University of Life Sciences and Technologies
Evaluation of the honey bee colonies weight gain during theintensive foraging period — 🇱🇻 Latvia University of Life Sciences and Technologies
Impact of the Precision Beekeeping on the Living Environment — 🇷🇸 University of Niš; 🇷🇸 Belgrade Metropolitan University
SLEAP: A deep learning system for multi-animal pose tracking — 🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine

Компьютерное зрение

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)
Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite — 🇬🇷 University of Ioannina
Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision — 🇵🇷 University of Puerto Rico
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
SLEAP: A deep learning system for multi-animal pose tracking — 🇺🇸 Princeton University; 🇺🇸 New York University; 🇺🇸 Johns Hopkins University School of Medicine

Датасеты и бенчмарки

Honeybee Re-identification in Video: New Datasets and Impact of Self-supervision — 🇵🇷 University of Puerto Rico

Edge AI и энергопотребление

Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite — 🇬🇷 University of Ioannina

IoT и сенсоры

Digital Transformation of Beekeeping through the Use of a Decision Making Architecture — 🇫🇷 Efrei Research Lab; 🇫🇷 PSL University
Evaluation of the honey bee colonies weight gain during theintensive foraging period — 🇱🇻 Latvia University of Life Sciences and Technologies
Impact of the Precision Beekeeping on the Living Environment — 🇷🇸 University of Niš; 🇷🇸 Belgrade Metropolitan University
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
Smart Beehive Monitoring for Remote Regions - PhD thesis — 🇦🇺 University of Western Australia

Обзоры и систематические обзоры

Digital Transformation of Beekeeping through the Use of a Decision Making Architecture — 🇫🇷 Efrei Research Lab; 🇫🇷 PSL University
Smart Beehive Monitoring for Remote Regions - PhD thesis — 🇦🇺 University of Western Australia

Робототехника

A Minimally Invasive Approach Towards “Ecosystem Hacking” With Honeybees — 🇦🇹 University of Graz; 🇨🇿 Czech Technical University; 🇹🇷 Middle East Technical University
Bio-Hybrid Systems for Ecosystem Level Effects — 🇦🇹 University of Graz; 🇩🇪 Humboldt University of Berlin; 🇨🇭 École Polytechnique Fédérale de Lausanne; 🇩🇪 Freie Universität Berlin; 🇱🇻 Latvia University of Life Sciences and Technologies

Варроа и здоровье

Deep Learning Beehive Monitoring System for Early Detection of the Varroa Mite — 🇬🇷 University of Ioannina

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