Publication detail

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

BILÍK, Š.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

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.

Keywords

Honey bee monitoring, Varroa Destructor, Machine intelligence

Authors

BILÍK, Š.

Released

23. 4. 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

Edition number

1

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"
}