R. Ross, Ben Anderson, Brian Bienvenu, Emily L. Scicluna, K. Robert
{"title":"WildTrack: An IoT System for Tracking Passive-RFID Microchipped Wildlife for Ecology Research","authors":"R. Ross, Ben Anderson, Brian Bienvenu, Emily L. Scicluna, K. Robert","doi":"10.3390/automation3030022","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":90013,"journal":{"name":"Mediterranean Conference on Control & Automation : [proceedings]. IEEE Mediterranean Conference on Control & Automation","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mediterranean Conference on Control & Automation : [proceedings]. IEEE Mediterranean Conference on Control & Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/automation3030022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.