- Tytuł:
- Edge computing in IoT-enabled honeybee monitoring for the detection of Varroa destructor
- Autorzy:
-
Wachowicz, Anna
Pytlik, Jakub
Małysiak-Mrozek, Bożena
Tokarz, Krzysztof
Mrozek, Dariusz - Powiązania:
- https://bibliotekanauki.pl/articles/2172108.pdf
- Data publikacji:
- 2022
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
Internet of Things
IoT
Varroa destructor
precision beekeeping
machine learning
image processing
edge device
Internet Rzeczy
pszczelarstwo
uczenie maszynowe
przetwarzanie obrazu
urządzenie brzegowe - Opis:
- Among many important functions, bees play a key role in food production. Unfortunately, worldwide bee populations have been decreasing since 2007. One reason for the decrease of adult worker bees is varroosis, a parasitic disease caused by the Varroa destructor (V. destructor) mite. Varroosis can be quickly eliminated from beehives once detected. However, this requires them to be monitored continuously during periods of bee activity to ensure that V. destructor mites are detected before they spread and infest the entire beehive. To this end, the use of Internet of things (IoT) devices can significantly increase detection speed. Comprehensive solutions are required that can cover entire apiaries and prevent the disease from spreading between hives and apiaries. In this paper, we present a solution for global monitoring of apiaries and the detection of V. destructor mites in beehives. Our solution captures and processes video streams from camera-based IoT devices, analyzes those streams using edge computing, and constructs a global collection of cases within the cloud. We have designed an IoT device that monitors bees and detects V. destructor infestation via video stream analysis on a GPU-accelerated Nvidia Jetson Nano. Experimental results show that the detection process can be run in real time while maintaining similar efficacy to alternative approaches.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2022, 32, 3; 355--369
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł