Application of Machine Learning to Investigate the Impact of Climatic Variables on Marine Fish Landings

• Main Authors: Rahman L.F., Marufuzzaman M., Alam L., Bari M.A., Sumaila U.R., Sidek L.M.
• Other Authors: 36984229900
• Format: Article
• Published: Springer 2023
• Institution: Universiti Tenaga Nasional

The fisheries industry of Malaysia is known as the strategic sector that can help the country raise domestic food production and supply. This research proposed machine learning (ML) based prediction of marine fish landings to project fish supply and compare those projections with the observed data....