Fishing Location and Availability Prediction for Yellowfin Tuna in Sri Lanka

Fisheries is one of the major sectors contributing to the economy of Sri Lanka, with growing interest in offshore marine resources and deep-sea fishing investments. However, ocean fishing involves challenges and risks. This study aims to assist fishermen in finding optimal fishing spots for Yellowfin Tuna in the Indian Ocean through technology and data-driven methods. The proposed solution involves developing an application that performs three key tasks: Fishing Location Prediction using Fuzzy Logic, Decision Tree, and Image Processing; Fishing Stock Assessment using Kriging methods; and Fish Availability Forecasting using LSTM. The insights provided by the solution can reduce time and energy consumption, improve fishing practices, and enhance overall fishing processes. Furthermore, the paper suggests future directions for improving existing practices with advanced technologies.