Paper Key : IRJ************669
Author: Intesar Fathima,Yanamala Sai Prasanna,Thumu Harshitha,Dyava Akash,Guduri Akhil
Date Published: 24 Mar 2025
Abstract
Coral reefs are vital marine ecosystems that support biodiversity and coastal protection. However, climate change, pollution, and other environmental stressors threaten their health, leading to coral bleaching and degradation. Our project we aim to develop an image classification system using deep learning for coral reef health monitoring. By leveraging convolutional neural networks (CNNs), the system can accurately classify coral images into categories such as healthy and bleached corals. The model is trained on a dataset of annotated coral reef images to ensure high accuracy in detection. This automated approach offers an efficient, cost-effective, and scalable solution for monitoring reef conditions, aiding researchers and conservationists in implementing timely protective measures
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