Abstract: Fishing businesses facing a major financial problem throughout the globe due to illegal fishing. Through this illegal fishing, we are pushing many fish populations to extinction. This paper proposes illegal fishing using data analytics and machine learning techniques. In existed papers they used data manipulation in illegal fishing data because of that there was a delay in catching the illegal vessels and in that system the data given is manual. In our paper, we are proposing data analytics to find these vessels.
We can gather the primary data from the Global Fishing Watch (GFW), we analyze this data and find the vessels whether they are used for illegal fishing or legal. Based on the sensors attached to the vessel we can find AIS location data, type of the vessel, and speed of the vessel. By our model, we can predict illegal fishing and can take necessary actions against the illegal fishing boats.
Keywords: Illegal Fishing, Normal fishing, Regression model, GFW
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