Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025Engineering Technology & Applied Science ResearchOpen Access

Harnessing Computer Vision and Deep Learning to Monitor Coral Reef Health

View Full Paper
Ask AI
Bookmark
Share

Authors

AAAfnan AldhahriESEsra SaifHAH. Abdul Jaffar Ali

Discussion

Loading...

Member takes

Overview

Novel system assesses coral reef health and detects bleaching in the Red Sea, suggesting a new monitoring approach.

Key Points

  • The system successfully detected coral bleaching, achieving a mean Average Precision of 89% with YOLOv9.
  • Results indicate effective and rapid monitoring of coral reefs, providing an automated solution to minimize threats.
  • Utilizing an augmented dataset of 10,285 labeled images improved detection accuracy for healthy and bleached corals.
  • The user-friendly interface enables quick notifications to authorities, highlighting urgent coral reef status.

Cite This Study

Aldhahri et al. (2025) studied this question.

synapsesocial.com/papers/68c1ac0954b1d3bfb60e498dhttps://doi.org/10.48084/etasr.10324
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Fish Detection under Occlusion Using Modified You Only Look Once v8 Integrating Real-Time Detection Transformer Features2023 · 27 citations
  2. 2Stressed Coral Reef Identification Using Deep Learning CNN Techniques2023 · 10 citations
  3. 3Classification of Coral Reef Species using Computer Vision and Deep Learning Techniques2024 · 6 citations
  4. 4Warming Trends and Bleaching Stress of the World’s Coral Reefs 1985–20122016 · 588 citations
  5. 5Bag of Features (BoF) Based Deep Learning Framework for Bleached Corals Detection2021 · 42 citations