A review study on machine learning to investigate the issue of plastic pollution in oceans
Author(s): Jeevanjot Singh, Simran, Pema Chheda and Prince Wuni Wuntah
Abstract: Significant challenges are occurring more frequently, especially in the current climate. Many environmental challenges are currently facing the world. One of the most significant issues we face today is water contamination. Challenges that may threaten future well-being. Throughout some areas of the planet, an unpleasant, slimy layer blanket the water, which is harmful to both aquatic animals and humans. In this Paper, we present a new approach that leverages machine learning for the automation of processing tasks. Today, exploring the link between artificial intelligence and environmental protection is a significant area of investigation due to swift technological developments and serious worldwide issues. This work looks at how machine learning models can help solve the important problem of managing plastic waste in the ocean.
Jeevanjot Singh, Simran, Pema Chheda, Prince Wuni Wuntah. A review study on machine learning to investigate the issue of plastic pollution in oceans. Int J Hydropower Civ Eng 2025;6(1):48-51. DOI: 10.22271/27078302.2025.v6.i1a.62
Research Journals