TITLE:
Review of Applications of Artificial Intelligence and Drones in Oil Pollution in Seawater
AUTHORS:
Arulanandam Srinivasan, Vatupalli Jawahar Babu
KEYWORDS:
Types of Oils, Sensors, Artificial Intelligence Techniques, Drone Techniques, Supervised Learning
JOURNAL NAME:
Journal of Computer and Communications,
Vol.13 No.4,
April
17,
2025
ABSTRACT: An ancient fossil fuel, oil is a crucial energy source for various daily activities, such as electricity generation and vehicle operation. However, its ship transportation poses a significant threat to the marine ecosystem. Oil spills into seawater, harming sea creatures and endangering human life in the event of an accident. The frequency of such oil pollution incidents in seawater is a persistent concern that demands immediate attention. Oil spills quickly spread to multiple areas, though they originate in a particular location, posing a threat to numerous species. During adverse weather conditions, detecting and mitigating these oil pollution incidents is complex. In this review, we would like to highlight the potential usage of drone technology as a solution to this challenge. In this paper, we discuss the current developments in the detection of oil pollution using various drone Techniques based on Scientific and Technological Concepts. We concentrate on the applications of drone techniques in seawater oil pollution and discuss the contribution of artificial intelligence techniques to the oil spilling problem in seawater. The Insights presented in this review article are informative and highly valuable to researchers dedicated to detecting and removing oil pollution in seawater. Their work is integral to the advancement of this field, and this research is a testament to that. The applications of drones and artificial intelligence techniques are very useful to society in detecting oil pollution in seawater. The methods used in artificial Intelligence techniques are highlighted, and the new challenges to be addressed in the future are elaborately discussed. This Research article elaborately listed and Discussed the Different kinds of drones normally available for detecting oil pollution in seawater. It also discussed the challenges in drone techniques for detecting oil pollution in seawater. New Research openings are suggested for detecting oil pollution in seawater using drones and artificial intelligence techniques. Researchers must read this paper to determine new solutions and do additional Research in this field. This research article paved the way to clearly understand the problems, solutions, and deficiencies.