Estimating fish population using artificial neural network

Fish is a marine life that brings many benefits to people all over the world. Apart from being major protein consumption, it is also a commodity that helps boost the economy of a country that depends highly on the fisheries sector, particularly developing countries. Year after year, the declination of fish populations has delayed most of the fishing activities and endangering food security and sustainability efforts. In this study, it focuses on efforts to sustain fish populations optimally by using an artificial neural network. The method used is mark and recapture technique simulated in MATLAB software. As the result, the system produces a graph that indicates a simulation of fish population and how many fish lived in certain area