Advanced Computer Vision Methods for Avian Risk Assessment Using Multispectral Drones
The growing threat of the Avian Influenza virus has raised the alarm for conservationists, ecologists and researchers to develop innovative solutions to monitor wildlife birds using drones and early diagnosing through advanced image processing methods. In recent years, outbreaks of the Avian Influen...
Saved in:
| Main Authors: | Dimitrios Mpouziotas, Petros Karvelis, Ioulia Kapsali, Chrysostomos Stylios, Vasilios Tsiouris |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11107416/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SEROLOGICAL MONITORING FOR AVIAN INFLUENZA IN THE RUSSIAN FEDERATION IN 2017–2018
by: M. A. Volkova, et al.
Published: (2019-06-01) -
Avian influenza overview March–June 2024
by: European Food Safety Authority, et al.
Published: (2024-07-01) -
EPIDEMIOLOGICAL MONITORING OF AVIAN INFLUENZA IN THE REPUBLIC OF CRIMEA
by: D. V. Gadzevich, et al.
Published: (2019-04-01) -
Exploring Avian Influenza Viruses in Yakutia—The Largest Breeding Habitat of Wild Migratory Birds in Northeastern Siberia
by: Nikita Kasianov, et al.
Published: (2025-04-01) -
Epidemiology and pathobiology of H5Nx highly pathogenic avian influenza in South Korea (2003–2024): a comprehensive review
by: Sun-Hak Lee, et al.
Published: (2025-12-01)