Using AI to Monitor Marine Environmental Pollution: Systematic Review

Amidst escalating concerns about marine environmental pollution, this systematic review delves into the role and potential of artificial intelligence (AI) in monitoring and managing marine ecosystems. Through the meticulous adoption of the PRISMA methodology, various databases were scrutinized, resulting in a curated list of seminal studies that encompass AI’s diverse techniques, such as machine learning and deep learning, in marine monitoring. The findings elucidate that AI techniques offer transformative advancements in real-time data analysis, predictive modeling, and anomaly detection, making them indispensable for contemporary marine conservation efforts. However, despite their potential, AI systems also bear limitations that need thoughtful consideration. This review not only delineates AI’s current applications in marine environmental monitoring but also extrapolates its future trajectories, providing critical insights for researchers, policymakers, and AI developers. By bridging the gap between AI’s technological prowess and marine ecosystem conservation needs, the research underlines the urgency of integrating advanced computational methodologies to safeguard oceans for future generations.