Analyzing the Beehive’s Sound to Monitor the Presence of the Queen Bee
Author:
Affiliation:
1. Aristotle University of Thessaloniki,Physics Department,Thessaloniki,Greece
2. Aristotle University of Thessaloniki,Laboratory of Apiculture-Sericulture,Thessaloniki,Greece
3. ENIA3,Greece
Funder
European Regional Development Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9976315/9976316/09976374.pdf?arnumber=9976374
Reference12 articles.
1. Application of continuous monitoring of honeybee colonies
2. Global pollinator declines: trends, impacts and drivers
3. Acoustic Scene Classification and Visualization of Beehive Sounds Using Machine Learning Algorithms and Grad-CAM
4. Features Extraction Applied to the Analysis of the Sounds Emitted by Honey Bees in a Beehive
5. Acoustic monitoring and classification of bee swarm activity using MFCC feature extraction and HMM acoustic modeling
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3. BeeSense-A Smart Beehive Monitoring System for Sustainable Apiculture;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
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