Bioacoustics Monitoring Of Coral Reef Health Using AI-Based Sound Analysis

Author: Abdelrahman Mohamed Adel

Abstract

Coral reefs degradation is one of the most stressing challenges that face humankind in the modern era. The world has lost 14% of the coral reefs since 2009 and this decline continues at an alarming pace. It is quite apparent at this point that effective strategies to protect and monitor coral reefs need to be developed. Our solution for this problem is a coral reef health monitoring system. This system will include AI models that analyze coral reefs images and sound to detect coral reefs health. Healthy coral reefs make noise like sounds. These sounds can be used to detect coral reef health. Artificial intelligence models will be trained by datasets that contain coral reef sound recordings of healthy and degraded coral reefs. By analyzing visual and auditory patterns, the AI can identify stressed and degraded coral reefs. It will be providing vital information to marine biologists. With the development of the technology we have proposed, purposeful steps towards ensuring the preservation of coral reefs for future generations, sustaining a balance in ecosystems, and protecting the ecosystem as a whole can finally be taken.

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