Monitoring coastal aquaculture devices in Taiwan with the radio frequency identification combination system. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Yang, Jen-Han; Yu, Lan-Lung; Liu, Ching-Tsung; Chang, Yi; Yang, Jen-Yu; Hsu, Tung-Yao; Hsiao, Shih-Chun
• Is Part Of: GIScience & remote sensing. Volume 59:Issue 1(2022)
• Page Start: 96
• Page End: 110
• Publication Date: 2022-12-31
• Subjects: Oyster farming rafts -- hybrid RFID system -- monitoring system -- GPS -- drone; Geodesy -- Periodicals; Cartography -- Periodicals; Aerial photogrammetry -- Periodicals; Remote sensing -- Periodicals; 526.05
• DOI: 10.1080/15481603.2021.2016241
• Languages: English
• ISSNs: 1548-1603

Abstract

ABSTRACT: Marine debris significantly influences the environment and economics of marine ecosystems. Measures to ban illegally discarded materials using monitoring techniques are expected to mitigate marine debris mismanagement. For example, derelict oyster farming rafts along the southwestern coast of Taiwan have been a source of marine debris pollution since the 1980s. An efficient inspection system is an urgent requirement for monitoring oyster farming areas and, is expected to implement control and surveillance measures for litter discarded from coastal fisheries. To address this issue, this study examined combinations of radio frequency identification (RFID), drone archiving, and onshore receiving systems to ascertain the positions of oyster rafts and their owners with digitally tagged labels. The results showed that the two proposed monitoring systems are feasible for use in marine environments. The RFID signals archived by the drone reached 100% of the 200 tags with a spatial bias ranging from 2.38 to 59.99 m. RFID-GPS hybrid tag signals received by the onshore station covered 100% of the 20 tags with spatial bias ranging from 1.27 to 10.47 m. The RFID-GPS hybrid system was confirmed as a feasible approach for monitoring oyster rafts within 3 km of the coast. The real-time (1 h intervals) position and attributes of each raft detected by the system indicated that our designed techniques enhance responsible fishery surveillance and management of coastal aquaculture worldwide.