Detail publikace

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

BILÍK, Š. KRATOCHVÍLA, L. LIGOCKI, A. BOŠTÍK, O. ZEMČÍK, T. HÝBL, M. HORÁK, K. ŽALUD, L.

Originální název

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera) parasites worldwide and the bee colonies have to be regularly monitored in order to control its spread. In this paper we present an object detector based method for health state monitoring of bee colonies. This method has the potential for online measurement and processing. In our experiment, we compare the YOLO and SSD object detectors along with the Deep SVDD anomaly detector. Based on the custom dataset with 600 ground-truth images of healthy and infected bees in various scenes, the detectors reached the highest F1 score up to 0.874 in the infected bee detection and up to 0.714 in the detection of the Varroa destructor mite itself. The results demonstrate the potential of this approach, which will be later used in the real-time computer vision based honey bee inspection system. To the best of our knowledge, this study is the first one using object detectors for the Varroa destructor mite detection on a honey bee. We expect that performance of those object detectors will enable us to inspect the health status of the honey bee colonies in real time.

Klíčová slova

Varroa destructor; Apis mellifera; western honey bee; bee health monitoring; object detection; YOLO; SSD; deep learning

Autoři

BILÍK, Š.; KRATOCHVÍLA, L.; LIGOCKI, A.; BOŠTÍK, O.; ZEMČÍK, T.; HÝBL, M.; HORÁK, K.; ŽALUD, L.

Vydáno

14. 4. 2021

Nakladatel

MDPI

Místo

BASEL

ISSN

1424-8220

Periodikum

SENSORS

Ročník

21

Číslo

8

Stát

Švýcarská konfederace

Strany od

2764

Strany do

2780

Strany počet

16

URL

https://www.mdpi.com/1424-8220/21/8/2764

Plný text v Digitální knihovně

http://hdl.handle.net/11012/200873

BibTex

@article{BUT171160,
  author="Šimon {Bilík} and Lukáš {Kratochvíla} and Adam {Ligocki} and Ondřej {Boštík} and Tomáš {Zemčík} and Matouš {Hýbl} and Karel {Horák} and Luděk {Žalud}",
  title="Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques",
  journal="SENSORS",
  year="2021",
  volume="21",
  number="8",
  pages="2764--2780",
  doi="10.3390/s21082764",
  issn="1424-8220",
  url="https://www.mdpi.com/1424-8220/21/8/2764"
}