Preliminary Application of a Low-cost Smart Collar Developed for Wild Animal Tracking

Q3 Engineering
A. Imamoǧlu, I. Tas
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引用次数: 0

Abstract

Global Positioning System (GPS) technology has been used in many different fields for many years. In recent years, GPS technologies have started to be preferred along with telemetry method in the monitoring and tracking of wild animal. This technology has been widely used especially in developing collars for wild animal tracking. However, due to the high cost of such devices and limited user intervention, they are not commonly used by practitioners or researchers with limited budget. Today, many hardware-based platforms have been developed with the developing technology. The Arduino platform, one of the prominent ones with its technical features, has great advantages of having different sensors and hardware work on single device. Besides, it is possible to produce cost-effective devices using this platform. Within the scope of this study, an Arduino-based wild animal tracking device (FiT-SMART Collar 2.0) with GPS support and remote data transfer via GSM was produced. The produced device was preliminary tested with a vehicle in the city traffic of Bursa, Türkiye. According to the results, the accuracy of the tracking data provided by smart collar was within the acceptable range of 2-3 m. Besides, instant tracking data has been successfully received in the system application using the GSM communication system attached on the platform.
一种用于野生动物追踪的低成本智能项圈的初步应用
全球定位系统(GPS)技术已经在许多不同的领域应用了多年。近年来,在野生动物的监测和跟踪中,GPS技术与遥测方法一起开始成为首选。这项技术已被广泛应用,尤其是在开发野生动物追踪项圈方面。然而,由于此类设备成本高,用户干预有限,因此预算有限的从业者或研究人员并不常用。今天,随着技术的发展,许多基于硬件的平台已经被开发出来。Arduino平台是技术特色突出的平台之一,它具有在单个设备上具有不同传感器和硬件工作的巨大优势。此外,使用该平台可以生产具有成本效益的设备。在这项研究的范围内,生产了一种基于Arduino的野生动物跟踪设备(FiT SMART Collar 2.0),该设备支持GPS并通过GSM进行远程数据传输。生产的装置在土耳其布尔萨市的一辆汽车上进行了初步测试。根据结果,智能项圈提供的跟踪数据的精度在2-3m的可接受范围内。此外,使用平台上附带的GSM通信系统,在系统应用中成功接收到即时跟踪数据。
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来源期刊
European Journal of Forest Engineering
European Journal of Forest Engineering Agricultural and Biological Sciences-Forestry
CiteScore
1.30
自引率
0.00%
发文量
6
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