Publication detail

Varroa destructor detection on honey bees using hyperspectral imagery

DUMA, Z. ZEMČÍK, T. BILÍK, Š. SIHVONEN, T. HONEC, P. REINIKAINEN, S. HORÁK, K.

Original Title

Varroa destructor detection on honey bees using hyperspectral imagery

Type

journal article in Web of Science

Language

English

Original Abstract

Hyperspectral (HS) imagery in agriculture is becoming increasingly common. These images have the advantage of higher spectral resolution. Advanced spectral processing techniques are required to unlock the information potential in these HS images. The present paper introduces a method rooted in multivariate statistics designed to detect parasitic Varroa destructor mites on the body of western honey bee Apis mellifera, enabling easier and continuous monitoring of the bee hives. The present paper is the first to utilize hyperspectral imagery for the task, previous studies existing only for multispectral imagery. The methodology explores unsupervised (K-means++) and recently developed supervised (Kernel Flows-Partial Least-Squares, KF-PLS) methods for parasitic identification. Additionally, in light of the emergence of custom-band multispectral cameras, the present research outlines a strategy for identifying the specific wavelengths necessary for effective bee-mite separation, suitable for implementation in a custom-band camera. Illustrated with a real-case dataset, our findings demonstrate that as few as four spectral bands are sufficient for accurate parasite identification.

Keywords

Beehive monitoring; Hyperspectral imagery (HSI); Kernel partial least-squares; Varroa destructor; Wavelength selection

Authors

DUMA, Z.; ZEMČÍK, T.; BILÍK, Š.; SIHVONEN, T.; HONEC, P.; REINIKAINEN, S.; HORÁK, K.

Released

1. 9. 2024

Publisher

Elsevier

ISBN

1872-7107

Periodical

COMPUTERS AND ELECTRONICS IN AGRICULTURE

Year of study

224

Number

září 2024

State

United Kingdom of Great Britain and Northern Ireland

Pages count

11

URL

https://www.sciencedirect.com/science/article/pii/S0168169924006100?pes=vor

BibTex

@article{BUT189100,
  author="Zina-Sabrina {Duma} and Tomáš {Zemčík} and Šimon {Bilík} and Tuomas {Sihvonen} and Peter {Honec} and Satu-Pia {Reinikainen} and Karel {Horák}",
  title="Varroa destructor detection on honey bees using hyperspectral imagery",
  journal="COMPUTERS AND ELECTRONICS IN AGRICULTURE",
  year="2024",
  volume="224",
  number="září 2024",
  pages="11",
  doi="10.1016/j.compag.2024.109219",
  issn="1872-7107",
  url="https://www.sciencedirect.com/science/article/pii/S0168169924006100?pes=vor"
}