HONEY BEE (APIS MELLIFERA) COLONY MONITORING METHODS WITH A POTENTIAL APPLICATION OF THE MACHINE INTELLIGENCE METHODS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU136518" target="_blank" >RIV/00216305:26220/20:PU136518 - isvavai.cz</a>
Result on the web
<a href="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf" target="_blank" >https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_1.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
HONEY BEE (APIS MELLIFERA) COLONY MONITORING METHODS WITH A POTENTIAL APPLICATION OF THE MACHINE INTELLIGENCE METHODS
Original language description
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.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings I of the 26th Conference STUDENT EEICT 2020
ISBN
978-80-214-5867-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
351-355
Publisher name
Vysoké učené Technické, Fakulta elektrotechniky a komunikačních technologií
Place of publication
Brno
Event location
BRNO
Event date
Apr 23, 2020
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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