Исследовательские статьи 2025 года

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Deep Edge IoT for Acoustic Detection of Queenless Beehives — 🇬🇷 Aristotle University of Thessaloniki
Transformer Models improve the acoustic recognition of buzz-pollinating bee species — 🇧🇷 Universidade Federal de Goiás; 🇺🇸 University of Arizona; 🇨🇱 Universidad Católica del Maule
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset — 🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.

An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping — 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Engineering and Agro-Food Processing, Monterotondo; 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Agriculture and Environment, Bologna; 🇷🇸 University of Novi Sad
An AI-Based Open-Source Software for Varroa Mite Fall Analysis in Honeybee Colonies — 🇪🇸 University of Zaragoza; 🇪🇸 University of La Rioja; 🇪🇸 University of Valencia
Apis mellifera Bee Verification with IoT and Graph Neural Network — 🇲🇽 Instituto Tecnológico El Llano Aguascalientes
Deep Learning-Based Detection of Honey Storage Areas in Apismellifera Colonies for Predicting Physical Parameters of Honey via Linear Regression — 🇹🇭 Chiang Mai University
Evaluation of Single-Shot Object Detection Models for Identifying Fanning Behavior in Honeybees at the Hive Entrance — 🇱🇹 Vilnius Gediminas Technical University
Fast, accurate measurement of the worker populations of honey bee colonies using deep learning — 🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
Towards Varroa destructor mite detection using a narrow spectra illumination — 🇨🇿 Brno University of Technology

Fast, accurate measurement of the worker populations of honey bee colonies using deep learning — 🇺🇸 Arizona State University; 🇺🇸 Texas A&M University–Kingsville
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset — 🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.

A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management — 🇦🇺 University of Technology Sydney; 🇦🇺 BeeSTAR
Apis mellifera Bee Verification with IoT and Graph Neural Network — 🇲🇽 Instituto Tecnológico El Llano Aguascalientes
Buzzing with Intelligence: A Systematic Review of Smart Beehive Technologies — 🇭🇷 University of Split
Deep Edge IoT for Acoustic Detection of Queenless Beehives — 🇬🇷 Aristotle University of Thessaloniki
IoT and Machine Learning Techniques for Precision Beekeeping:A Review — 🇺🇬 Makerere University; 🇹🇿 Dar es Salaam Institute of Technology
UrBAN: Urban Beehive Acoustics and PheNotyping Dataset — 🇨🇦 Institut National de la Recherche Scientifique; 🇨🇦 Université Laval; 🇨🇦 Nectar Technologies Inc.

Transformer Models improve the acoustic recognition of buzz-pollinating bee species — 🇧🇷 Universidade Federal de Goiás; 🇺🇸 University of Arizona; 🇨🇱 Universidad Católica del Maule

An AI-Based Digital Scanner for Varroa destructor Detection in Beekeeping — 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Engineering and Agro-Food Processing, Monterotondo; 🇮🇹 Council for Agricultural Research and Economics (CREA) – Research Centre for Agriculture and Environment, Bologna; 🇷🇸 University of Novi Sad
An AI-Based Open-Source Software for Varroa Mite Fall Analysis in Honeybee Colonies — 🇪🇸 University of Zaragoza; 🇪🇸 University of La Rioja; 🇪🇸 University of Valencia
Towards Varroa destructor mite detection using a narrow spectra illumination — 🇨🇿 Brno University of Technology