WildTrack:用于生态研究的无源rfid微芯片野生动物物联网跟踪系统

R. Ross, Ben Anderson, Brian Bienvenu, Emily L. Scicluna, K. Robert
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引用次数: 3

摘要

野生动物追踪用于获取动物在其自然栖息地的运动,行为和生存信息,用于广泛的生态问题。然而,在野外跟踪和监测自由放养的动物通常是一项劳动密集型工作,对小型、隐蔽或难以重新捕获的物种尤其困难。在本文中,我们描述和评估了一个基于物联网(IoT)的跟踪系统,该系统自动记录检测到的无源RFID标签并将其上传到云端。该系统在一个30公顷的野生动物保护区成功部署了90个传感器模块,用于监测体型小于20克的小型夜行哺乳动物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
WildTrack: An IoT System for Tracking Passive-RFID Microchipped Wildlife for Ecology Research
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.
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