Congradulations to Yu-Yu Lai for his work.
Illegal, Unreported, and Unregulated (IUU) fishing activities can cause fishery resources to deplete if unaddressed. However, due to complex circumstances on the seas, fishermen
sometimes forget to submit reports, inadvertently contributing to IUU fishing. This research aims to develop an early warning system to detect possible transshipment or landing of a fishing
vessel and notify the fishermen and government authorities in advance, which could ensure the submit reports of transshipment or landing to prevent the occurrence of IUU fishing activities.
Our algorithm captures the fishing behaviors of over 900 registered vessels by calculating the moving average and standard deviations of catch weight in the first step. Following, we test
to find a suitable threshold for triggering the alarm to issue a notification to suggest a report submission. Finally, two indicators were used to evaluate the effectiveness of the system. The first
indicator is the number of transshipment and landing report records successfully warned by simulating our algorithm over historical data. The second is the ratio of average warning days
to the average days of each fishing trip, defined as a start of fishing activity to a successful transshipment or landing. We aim to maximize the number of successful warnings and minimize
the average warning days.
Preliminary developments in this research show that by simulating the early warning algorithm with historical transshipment and landing data recorded in the database, 77.5% of all true
transshipment and landing events are alerted and early warned. The average early warning period is 46 days, whereas the average days of each fishing trip are 175 days. With more
adjustments and observations to this research, we can assist fisheries management by helping not only the authorities monitor the activities and fishing status of registered fishing vessels
but also fishermen to avoid violating regulations set by the government and international communities.
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