The first stage of the SMART-Navigation project was completed in 2020, and a new project that aims to develop smart AtoN (aids to navigation) has begun. If the location information of ships is continuously collected, processed and accumulated, it will be possible to identify the behavioral characteristics of each ship and to combine the characteristics of active ships at some point to provide various forms of predictive information. In this paper, we describe how current and traditional fishing areas are identified based on the location information of fishing boats and then introduce a new method for predicting fishing areas in advance using historical information of currently active fishing boats.

1. Introduction
2. Data Characteristics for the SMART-Navigation Services
3. Discovering Fishing area
    3.1 Identifying the Status of Fishing vessels
    3.2 Identifying Current Fishing Areas
    3.3 Identifying Traditional Fishing Areas
4. New Approach to predict the fishing areas
5. Conclusions
Acknowledgements
References

• Geonung Kim(Dept. of Computer Engineering, Mokpo National Maritime University, Korea) Corresponding author
• Gyei-Kark Park(Dept. of Logistics and Maritime Studies, Mokpo National Maritime University, Korea)