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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67830
Volume:
10 |
10 |
Oct 2026
Pages:
1-5
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
ELECTRONICS AND COMMUNICATION ENGINEERING
CMR TECHNICAL CAMPUS
ELECTRONICS AND COMMUNICATION ENGINEERING
CMR TECHNICAL CAMPUS
ELECTRONICS AND COMMUNICATION ENGINEERING
CMR TECHNICAL CAMPUS
ELECTRONICS AND COMMUNICATION ENGINEERING
CMR TECHNICAL CAMPUS
ELECTRONICS AND COMMUNICATION ENGINEERING
CMR TECHNICAL CAMPUS
The Boat Tracking, Weather Monitoring, and Ocean Cleaning System harness the power of IoT technology to create a smarter, more sustainable maritime environment. By integrating real-time vessel tracking with advanced weather analytics, this system enhances navigation safety while promoting proactive ocean conservation efforts. Additionally, it addresses marine pollution through targeted cleanup initiatives, fostering a healthier ecosystem. Together, these innovations aim to revolutionize how we interact with and protect our oceans. It is crucial for enhancing maritime safety, improving environmental monitoring, and promoting sustainable ocean management. It enables real-time data collection and analysis, allowing for timely responses to changing weather conditions and efficient debris removal, ultimately contributing to healthier marine ecosystems and safer navigation for vessels.
KEYWORDS
he ESP-32-based system for boat tracking, weather monitoring, and ocean cleaning offers a smart and effective solution to combat marine pollution and improve navigation efficiency. Utilizing its high processing power, built-in Wi-Fi, and Bluetooth connectivity, the system ensures real-time GPS tracking, environmental data collection, and automated debris removal. Compared to Arduino-based alternatives, the ESP-32 delivers enhanced performance, making it well-suited for advanced IoT applications [9] in maritime operations. With integrated sensors for temperature, humidity, and water quality assessment, the system strengthens maritime safety and enables proactive environmental protection. Its real-time data transmission and automation capabilities enhance response efficiency, ensuring prompt waste removal and accurate weather monitoring. This approach supports marine sustainability while streamlining operational processes for various maritime industries. Future developments could incorporate AI-driven predictive analytics, cloud-based data management, and renewable energy sources to further improve system scalability and efficiency. These enhancements will enable remote monitoring, facilitate data-driven decision-making, and contribute to global initiatives aimed at preserving marine ecosystems and ensuring safer waterways.
1. R. Tharwin Kumar1, R. R. Ramya2, R. K. Padmashini3, Buvanesh Pandian V4, International Journal of Advanced Trends in Engineering and Management (IJATEM) Vol. 2(09), September 2023, pp. 24-32. 2. 1Ms. Divya Panchmukh, 2Ms. Pallavi Patil, 3Ms. Vaibhavi Nimbalkar, 4Prof. Kalpita Mane, International Journal of Creative Research Thoughts (IJCRT). 3. Varsha Lakshmikantha, Anjitha Hiriyannagowda, Akshay Manjunath, Aruna Patted, Jagadeesh Basavaiah, Audre Arlene Anthony, Global Transitions Proceedings 2 (2021) 181–186. 4. Arnas Majumder, Michele Losito, Santhosh Paramasivam, Amit Kumar, Gianluca Gatto, Ocean Engineering 313 (2024) 119521. 5. GuobaoXu YanjunShi2, XueyanSun3 and Weiming Shen3, Sensors 2019, 19, 1711. 6. Nanda Kumar V, Thayaharan J, Selvaganesh, Kanishkar A, Saravanan Ku, International Journal of Creative Research Thoughts (IJCRT). 7. Diaz Saputra; Ford Lumban Gaol; Edi Abdurachman; Dana Indra Sensuse; Tokuro Matsuo,Emerging Science Journal, Vol: 7, no: 4, pp. 1188 – 1205. 8. Ramanand Samdekar; S. M. Ghosh; Konda Srinivas,Efficiency Enhancement of Intrusion Detection in Iot Based on Machine Learning Through Bioinspire, 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) 9. M.Sivajyothi, IOT Based Over Speeding Vehicles Detection The International journal of analytical and experimental modal analysis (IJAEMA) 10. A.T. Demetillo, M.V. Japitana, E.B. Taboada, Sustain. Environ. Res. 29 (2019) 12, doi: 10.1186/s42834-019-0009-4.
Publication Date
10/12/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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