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LIFE BELOW WATER

AUTHORS:
C. H. Neetha
Syeda Reshmi
Biradar Akshitha
T.K. Sujith Chandra
Kolla Venkata Sai
Mentor
Affiliation
CSE – (AI&ML), Sreyas Institute of Engineering and Technology, Hyderabad, India- 500068
DOI: 10.55041/ijsmt.v2i4.237
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Oceans matter more than most people think. Life inside them gets protection through a global plan called SDG 14. This target works to keep marine resources alive and functional for those who come later. Water bodies help balance Earth’s weather patterns, feeding land-based survival in quiet ways. Yet today these waters face harm - plastic piles up, coral homes crumble, too many fish get pulled out, temperatures rise without pause. Looking at oceans the usual way takes too long plus covers only small areas. Instead of manual checks, scientists tested computer vision along with image analysis on photos and satellite feeds. By scanning visuals, it spots coral turning white, identifies sea creatures, measures pollutants, while judging how much damage habitats have seen. This method gives consistent tracking of ocean life and how well protection actions work.

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 21 2026
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Neetha, C. H., Reshmi, S., Akshitha, B., Chandra, T. S. & Sai, K. V. (2026). Life Below Water. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.237

Neetha, C., et al.. "Life Below Water." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.237.

Neetha, C.,Syeda Reshmi,Biradar Akshitha,T.K. Chandra, and Kolla Sai. "Life Below Water." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.237.

References
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2.Li, J., Skinner, K., Eustice, R., & Johnson- Roberson,(2020).WaterGAN: Unsupervised generative network to enable real-time color correction ofmonocular underwater images. Elsevier Journal of Ocean Engineering. https://www.sciencedirect.com/science/article/pi i/S1877050920305615

3.Zhang, , Li, X., & Wang, H. (2023).

4.Application of computer vision and image processing  in  marine  environmental monitoring. Sustainable Oceans        Journal, Elsevier. https://www.sciencedirect.com/science/article/pii/S2634460223000080

5.UNESCOIntergovernmental Oceanographic Commission. (2022). Marine pollution monitoring and UNESCO.

6.https://ioc.unesco.org

7.Gómez, , Green, D. R., & Garzón, F. (2019). Advances in remote sensing for marine biodiversity monitoring. Remote Sensing of Environment, Elsevier. https://www.sciencedirect.com/journal/remote- sensing-of-environment

8.Williams, S. B., Pizarro, O., Webster, J., & Mahon, I. (2016). Underwater image analysis for marine monitoring. Journal of Field

9.https://onlinelibrary .wiley .comShortis, M. R., Harvey, E. S., & Seager, J. W. (2018). A review of underwater stereo-image measurement for marine biology. Oceanography and Marine Biology Journal. https://www.tandfonline.com

10.Bryson,, Ferrari, R., Figueira, W., & Madin, J. (2017). Automated annotation of benthic survey images. IEEE Journal of Oceanic Engineering.

 
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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