Summary
- Year: 2020
- Total papers: 11
- Research papers hub
- All years
Topics
- Audio Acoustics (1)
- Bee Behaviour (4)
- Computer Vision (4)
- Datasets Benchmarks (1)
- Edge AI Energy (1)
- IoT Sensors (6)
- Pollination Ecology (1)
- Reviews Surveys (1)
Product areas
- Colony Health (3)
- Gate Tracker (1)
- Hive Scanner (2)
- Monitoring Platform (7)
Papers by topic
Audio Acoustics
- The prediction of swarming in honeybee colonies using vibrational spectra — 🇬🇧 Nottingham Trent University; 🇫🇷 l’Institut National de Recherche en Agriculture; 🇧🇪 Centre Apicole de Recherche et d’Information
Bee Behaviour
- BeeAlarmed. Masters thesis — 🇩🇪 South Westphalia University of Applied Sciences
- Current achievements and future developments of a novel AI based visual monitoring of beehives in ecotoxicology and for the monitoring of landscape structures — 🇩🇪 apic.ai GmbH
- Real-time, low-latency closed-loop feedback using markerless posture tracking — 🇺🇸 Harvard University; 🇬🇧 NeuroGEARS Ltd; 🇺🇸 University of Oregon; 🇨🇭 Swiss Federal Institute of Technology
- The prediction of swarming in honeybee colonies using vibrational spectra — 🇬🇧 Nottingham Trent University; 🇫🇷 l’Institut National de Recherche en Agriculture; 🇧🇪 Centre Apicole de Recherche et d’Information
Computer Vision
- Automatic detection and classification of honey bee comb cells using deep learning — 🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
- BeeAlarmed. Masters thesis — 🇩🇪 South Westphalia University of Applied Sciences
- Current achievements and future developments of a novel AI based visual monitoring of beehives in ecotoxicology and for the monitoring of landscape structures — 🇩🇪 apic.ai GmbH
- Real-time, low-latency closed-loop feedback using markerless posture tracking — 🇺🇸 Harvard University; 🇬🇧 NeuroGEARS Ltd; 🇺🇸 University of Oregon; 🇨🇭 Swiss Federal Institute of Technology
Datasets Benchmarks
- Automatic detection and classification of honey bee comb cells using deep learning — 🇵🇹 Instituto Politécnico de Bragança; 🇧🇷 Federal Technological University of Paraná; 🇫🇷 Université Clermont-Auvergne
Edge AI Energy
- Analysis of Energy Consumption in a Precision Beekeeping System — 🇫🇷 emlyon business school; 🇫🇷 Inria; 🇫🇷 École Normale Supérieure de Lyon; 🇫🇷 Université Claude Bernard Lyon 1; 🇫🇷 CNRS LIP
IoT Sensors
- A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring — 🇮🇹 Università Politecnica delle Marche
- Analysis of Energy Consumption in a Precision Beekeeping System — 🇫🇷 emlyon business school; 🇫🇷 Inria; 🇫🇷 École Normale Supérieure de Lyon; 🇫🇷 Université Claude Bernard Lyon 1; 🇫🇷 CNRS LIP
- Data fusion challenges in precision beekeeping: a review — 🇱🇻 Latvia University of Life Sciences and Technologies
- Model for the bee apiary location evaluation — 🇱🇻 Latvia University of Life Sciences and Technologies; 🇩🇪 Humboldt University of Berlin
- Monitoring System for Remote Bee Colony State Detection — 🇱🇻 Latvia University of Life Sciences and Technologies; 🇮🇩 Universitas Prima Indonesia
- Precision Apiculture – IoT System for Remote Monitoring of Honeybee Colonies — 🇲🇰 Ss. Cyril and Methodius University
Pollination Ecology
- Model for the bee apiary location evaluation — 🇱🇻 Latvia University of Life Sciences and Technologies; 🇩🇪 Humboldt University of Berlin
Reviews Surveys
- Data fusion challenges in precision beekeeping: a review — 🇱🇻 Latvia University of Life Sciences and Technologies