Original title: Honey Bee (APIS Mellifera) Colony Monitoring Methods With A Potential Application Of The Machine Intelligence Methods
Authors: Bilík, Šimon
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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 also the future direction of the author’s research.
Keywords: Honey bee monitoring; Machine intelligence; Varroa Destructor
Host item entry: Proceedings I of the 26st Conference STUDENT EEICT 2020: General papers, ISBN 978-80-214-5867-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/200594

Permalink: http://www.nusl.cz/ntk/nusl-447646


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