A Comprehensive Study of AI (XAI) for Ocean Health Monitoring

Ocean ecosystem health is a critical part of the global ecosystem which directly or indirectly affects human health. In where, the Artificial Intelligence (AI) plays a transformative approach in monitoring the diseases and the health status of ocean organisms. Monitoring marine species is crucial due to the threats impacting on global climate changes and human activities like overfishing, ocean acidification, and hypoxic zones. In where, they can harm the ocean significantly and cause the rapid changes. Nowadays, detection in changes of environmental phenomena increasing data availability leads to expansion of sustainable ocean ecosystem health through the use of artificial intelligence AI and edge computing technology. Levering diverse data collected tools like sensors, satellites, underwater cameras, and acoustic devices enable the acquisition of extension data on environmental parameters, species presence and behavior. Moreover, the AI-driven systems are instrumental in overseeing environmental parameters like water quality, temperature, and nutrient levels. Through continuous monitoring, these AI algorithms offer the valuable insights into the well-being and the conditions of the observed ecosystem, facilitating the evaluation of ecosystem resilience, and the potential threats. Harnessing the capabilities of AI algorithms empowers the researchers and the conservationists to enhance their comprehension of marine ecosystems. Therefore, this study will facilitate the efficient management and conservation initiatives for the enduring health of ocean life and the preservation of our oceans.