| Autor: |
Robert Ross, Ben Anderson, Brian Bienvenu, Emily L. Scicluna, Kylie A. Robert |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Automation, Vol 3, Iss 3, Pp 426-438 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2673-4052 |
| DOI: |
10.3390/automation3030022 |
| Popis: |
Wildlife tracking is used to acquire information on the movement, behaviour and survival of animals in their natural habitat for a wide range of ecological questions. However, tracking and monitoring free-ranging animals in the field is typically labour-intensive and particularly difficult in species that are small, cryptic, or hard to re-capture. In this paper, we describe and evaluate an Internet-of-Things (IoT)-based tracking system which automatically logs detected passive RFID tags and uploads them to the cloud. This system was successfully evaluated with 90 sensor modules deployed in a 30 ha wildlife sanctuary to monitor a small nocturnal mammal of less than 20 g in body size. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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