Feasibility study of RFID-Mounted drone application in management of oyster farms

Jen Han Yang, Yi Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publicationInternational Cooperation for Global Awareness, IGARSS 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3610-3613
Number of pages4
Volume2017-July
ISBN (Electronic)9781509049516
DOIs
Publication statusPublished - 2017 Dec 1
Event37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States
Duration: 2017 Jul 232017 Jul 28

Other

Other37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
CountryUnited States
CityFort Worth
Period17-07-2317-07-28

Fingerprint

feasibility study
Radio frequency identification (RFID)
Farms
Gears
ghost fishing
farm
Marine pollution
radio
marine pollution
fishing gear
Coastal zones
methodology
Monitoring
coast
Testing
monitoring
oyster farming
Drones
coastal area
method

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Cite this

Yang, J. H., & Chang, Y. (2017). Feasibility study of RFID-Mounted drone application in management of oyster farms. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (Vol. 2017-July, pp. 3610-3613). [8127780] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2017.8127780
Yang, Jen Han ; Chang, Yi. / Feasibility study of RFID-Mounted drone application in management of oyster farms. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3610-3613
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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.",
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Yang, JH & Chang, Y 2017, Feasibility study of RFID-Mounted drone application in management of oyster farms. in 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. vol. 2017-July, 8127780, Institute of Electrical and Electronics Engineers Inc., pp. 3610-3613, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, United States, 17-07-23. https://doi.org/10.1109/IGARSS.2017.8127780

Feasibility study of RFID-Mounted drone application in management of oyster farms. / Yang, Jen Han; Chang, Yi.

2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July Institute of Electrical and Electronics Engineers Inc., 2017. p. 3610-3613 8127780.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Yang JH, Chang Y. Feasibility study of RFID-Mounted drone application in management of oyster farms. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Vol. 2017-July. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3610-3613. 8127780 https://doi.org/10.1109/IGARSS.2017.8127780