Research Article | Open Access
ILLEGAL FISHING DETECTION USING PYTHON
Mrs. P. VIJAYA LAKSHMI, Mrs. P. VIJAYA LAKSHMI, KOTHA YAMINI REDDY, PRABHALA AKASH, NANAM BHAGYA SHREE
Pages: 685-690
Abstract
Globally we are facing a financial problem in the fishing business due to illegal fishing done
by vessels . Our project helps in identifying those vessels. In this project, we are using data analytics
to find those vessels by analyzing the primary data from the Global Fishing Watch (GFW) to find
those vessels. During this process we use regression model to det ect the vessel's behavior and
determine if that particular vessel is doing illegal fishing or not. Our project adds some other new
functionalities to the previous project by GMU engineering team and based on the given result, the
law enforcement can know w hich vessel to investigate. By using regression model, we can find AIS
location data, type of the vessel, speed of the vessel. By our model, we can predict if the vessel is
fishing or not fishing. The vessel which is at high risk of doing illegal fishing will be shown through
a display. So, whenever law enforcement finds such a vessel, they investigate them and stop another
vessel by performing such illegal activity.
Keywords
Globally we are facing a financial problem in the fishing business due to illegal fishing done by vessels .