Detail publikace

Varroa destructor detection on honey bees using hyperspectral imagery

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

Originální název

Varroa destructor detection on honey bees using hyperspectral imagery

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

1. 9. 2024

Nakladatel

Elsevier

ISSN

1872-7107

Periodikum

COMPUTERS AND ELECTRONICS IN AGRICULTURE

Ročník

224

Číslo

září 2024

Stát

Spojené království Velké Británie a Severního Irska

Strany počet

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"
}