AI-Powered Hull-Mounted Sensor Pod for Marine Environmental Monitoring

This study presents the design and development of the GuardianX AI-Powered Hull-Mounted Sensor Pod, an intelligent marine environmental monitoring system integrating artificial intelligence with real-time water quality analysis.The system measures parameters such as pH, salinity, dissolved oxygen, and turbidity to detect pollution and biofouling in marine environments.The research introduces a cost-effective and scalable approach for sustainable ocean monitoring, with applications in maritime safety, aquaculture, and environmental protection.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-07
DOI
https://doi.org/10.5281/zenodo.17288655
Primary Topic
Asphalt Pavement Performance Evaluation
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Hull-Mounted Sensor Pod for Marine Environmental Monitoring

Zenodo (CERN European Organization for Nuclear Research)
Asphalt Pavement Performance Evaluation
article

AI-Powered Hull-Mounted Sensor Pod for Marine Environmental Monitoring

article en

Abstract

This study presents the design and development of the GuardianX AI-Powered Hull-Mounted Sensor Pod, an intelligent marine environmental monitoring system integrating artificial intelligence with real-time water quality analysis.The system measures parameters such as pH, salinity, dissolved oxygen, and turbidity to detect pollution and biofouling in marine environments.The research introduces a cost-effective and scalable approach for sustainable ocean monitoring, with applications in maritime safety, aquaculture, and environmental protection.

Zenodo (CERN European Organization for Nuclear Research)
Guardian Industries (United States) (US)
Life below water
Openalex Percentile: Top 49%
Asphalt Pavement Performance Evaluation
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AI-Powered Hull-Mounted Sensor Pod for Marine Environmental Monitoring · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS