{"title":"Feasibility study of RFID-Mounted drone application in management of oyster farms","authors":"Jen-Han Yang, Yi Chang","doi":"10.1109/IGARSS.2017.8127780","DOIUrl":null,"url":null,"abstract":"Derelict fishing gear produced by oyster farming activities is being dispersed along the southwestern coast of Taiwan. The derelict gear fragments littering at the coastal areas and is responsible for ghost fishing being a type of marine pollution. To address this problem, the paper presents an experimental implementation of a method to localize radio-frequency identification tags in oyster farms for monitoring using drone technologies. The advantage of the proposed system is to provide a useful tool in analyzing identification of oyster rafts farming with less man power and time. The findings provide an initial feasibility study on combining radio-frequency identification system with drone technology to improve oyster farms management. In addition, this paper depicts the proposed system, shows the testing methodology and analyses some achieved performances in an experimental scenario.","PeriodicalId":6466,"journal":{"name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","volume":"1 1","pages":"3610-3613"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2017.8127780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Derelict fishing gear produced by oyster farming activities is being dispersed along the southwestern coast of Taiwan. The derelict gear fragments littering at the coastal areas and is responsible for ghost fishing being a type of marine pollution. To address this problem, the paper presents an experimental implementation of a method to localize radio-frequency identification tags in oyster farms for monitoring using drone technologies. The advantage of the proposed system is to provide a useful tool in analyzing identification of oyster rafts farming with less man power and time. The findings provide an initial feasibility study on combining radio-frequency identification system with drone technology to improve oyster farms management. In addition, this paper depicts the proposed system, shows the testing methodology and analyses some achieved performances in an experimental scenario.