TY - GEN
T1 - Feasibility study of RFID-Mounted drone application in management of oyster farms
AU - Yang, Jen Han
AU - Chang, Yi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/1
Y1 - 2017/12/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85041855324&partnerID=8YFLogxK
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U2 - 10.1109/IGARSS.2017.8127780
DO - 10.1109/IGARSS.2017.8127780
M3 - Conference contribution
AN - SCOPUS:85041855324
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3610
EP - 3613
BT - 2017 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Y2 - 23 July 2017 through 28 July 2017
ER -