Early Warning System in Coral Conservation for Sri Lanka

Marine pollution poses a great danger to the coral reefs in the world including the warm waters of Sri Lanka which is crucial to ecological tourist attraction and the local economy. This research points out that the absence of an early warning system using machine learning and soft computing reduces the chances of early detection of damage to the environment especially the reefs to a later time when most of the damage has occurred resulting in significant damage to ecosystems together with a loss of critical source of income for communities depending on the reefs. The lack of significant knowledge on the subject doesn’t help and the inability to talk about pollution specifics makes it even more difficult to preserve what is left. In this paper, it is recommended that an early warning system with an ML algorithm be developed to collect timely alerts that will be accurate enough for policymakers and environmental activists to prevent the degradation of coral reefs and maintain the sustainable existence of the local populations.