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BILÍK, Š.
Original Title
HONEY BEE (APIS MELLIFERA) COLONY MONITORING METHODS WITH A POTENTIAL APPLICATION OF THE MACHINE INTELLIGENCE METHODS
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
This article brings an overview of the bee monitoring methods and is divided into two parts. The first part, which covers the general monitoring methods, describes the methods based on the sensor fusion data and acoustic measurements and the second part focuses on computer vision methods based applications for the Varroa Destructor mite detection. The conclusion drafts possible extension of those methods with the use of the deep learning methods and al-so the future direction of the author’s research.
English abstract
Keywords
Honey bee monitoring, Varroa Destructor, Machine intelligence
Key words in English
Authors
RIV year
2021
Released
23.04.2020
Publisher
Brno University of Technology, Faculty of Electrical Engineering and Communication
Location
Brno
ISBN
978-80-214-5867-3
Book
Proceedings I of the 26th Conference STUDENT EEICT 2020
Pages from
351
Pages to
355
Pages count
5
URL
https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf
BibTex
@inproceedings{BUT164026, author="Šimon {Bilík}", title="HONEY BEE (APIS MELLIFERA) COLONY MONITORING METHODS WITH A POTENTIAL APPLICATION OF THE MACHINE INTELLIGENCE METHODS", booktitle="Proceedings I of the 26th Conference STUDENT EEICT 2020", year="2020", number="1", pages="351--355", publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication", address="Brno", isbn="978-80-214-5867-3", url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf" }