AI Innovations in Marine Resources and Pollution Management
- 1st Edition - January 1, 2027
- Latest edition
- Editors: Sesan Abiodun Aransiola, Ebenezer Esenogho, Naga Raju Maddela
- Language: English
AI Innovations in Marine Resources and Pollution Management explores how cutting-edge artificial intelligence technologies are revolutionizing the monitoring, understanding, and pr… Read more
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Description
Description
AI Innovations in Marine Resources and Pollution Management explores how cutting-edge artificial intelligence technologies are revolutionizing the monitoring, understanding, and protection of our oceans. This comprehensive guide addresses the pressing challenges of marine pollution and resource conservation by showcasing AI-driven solutions—from advanced predictive models and real-time detection to sophisticated mapping and sensor fusion technologies. It highlights innovative applications such as microplastics classification, oil spill detection with smart drones, and geospatial intelligence for ecosystem monitoring, providing practical insights for researchers, policymakers, and environmental practitioners. By harnessing the transformative power of AI, this book aims to improve pollution tracking, enhance response strategies, and promote sustainable management of marine environments—an essential resource for students and researchers dedicated to protecting our oceans and fostering a sustainable future.
Key features
Key features
- Provides in-depth insights into innovative solutions such as sensor fusion, geospatial intelligence, and drone-based detection systems to enhance marine environmental protection
- Covers a wide range of AI-driven technologies and applications for monitoring, predicting, and managing marine pollution and resources
- Includes case studies from around the world that illustrate successful implementation of AI tools in tracking microplastics, oil spills, and emerging pollutants, informing sustainable marine management practices
Readership
Readership
Students and researchers of water science
Table of contents
Table of contents
Section I. Marine Ecosystem Resources and Pollution in the AI Era
1. AI in Marine Pollutions: Types, Sources, Effects, and Distributions
2. AI in Marine Resources, Conservation, and Sustainability
3. AI Modeling in Marine Ecosystem: Environmental Impacts
4. Applications of AI in Marine Pollution Control
5. Sustaining Marine Ecosystem Resources Through AI-Powered Tracking Systems
6. Effects of Marine Pollution on Climate Change: The Place of AI as a Mitigating Tool
Section II. AI Innovation in Marine Resources and Pollution Management
7. Application of AI in Marine Plastics Mapping and Control Scope
8. Heterogeneous Sensor Modalities for Marine Resources and Pollution Monitoring
9. AI-Powered Discovery of Emerging Marine Pollutants and Remediation
10. Geospatial Intelligence of Marine Resources and Pollution: The AI Mapping Approach
11. Edge AI and Smart Drones for Oil Spill Detection
12. Advanced Sensor Fusion Algorithms & Real-Time Monitoring of the Marine Ecosystem
13. AI Prospects in Solving Global Health Challenges from Marine Resources
14. AI-Driven Monitoring and Detection of Floating and Underwater Marine Debris
Section III. Challenges and future guidelines of using AI to manage marine resources and pollutions
15. Constrictions and Limitations of AI in Marine Resources and Pollution Management
16. Case Studies and Global Perspectives in Marine Ecosystem Resources Tracking
17. Ethical, Legal and Operational Challenges of AI Innovations in Marine Pollution Monitoring
18. Effects of Data Quality on AI-Decision Making in Marine Pollutions: Completeness, Timeliness, Reliability, Standardization, and Representativeness
19. Frameworks for Data Governance, Access Rights, and Consent in Citizen Science Contribution
20. AI-Driven Tools for Sustainable Marine Polices and Public Awareness Strategies: Smart Oceans, Decision Support Systems and Citizen Science Projects
21. Future Directions and Challenges in AI-Based Marine Resources and Pollution Management
1. AI in Marine Pollutions: Types, Sources, Effects, and Distributions
2. AI in Marine Resources, Conservation, and Sustainability
3. AI Modeling in Marine Ecosystem: Environmental Impacts
4. Applications of AI in Marine Pollution Control
5. Sustaining Marine Ecosystem Resources Through AI-Powered Tracking Systems
6. Effects of Marine Pollution on Climate Change: The Place of AI as a Mitigating Tool
Section II. AI Innovation in Marine Resources and Pollution Management
7. Application of AI in Marine Plastics Mapping and Control Scope
8. Heterogeneous Sensor Modalities for Marine Resources and Pollution Monitoring
9. AI-Powered Discovery of Emerging Marine Pollutants and Remediation
10. Geospatial Intelligence of Marine Resources and Pollution: The AI Mapping Approach
11. Edge AI and Smart Drones for Oil Spill Detection
12. Advanced Sensor Fusion Algorithms & Real-Time Monitoring of the Marine Ecosystem
13. AI Prospects in Solving Global Health Challenges from Marine Resources
14. AI-Driven Monitoring and Detection of Floating and Underwater Marine Debris
Section III. Challenges and future guidelines of using AI to manage marine resources and pollutions
15. Constrictions and Limitations of AI in Marine Resources and Pollution Management
16. Case Studies and Global Perspectives in Marine Ecosystem Resources Tracking
17. Ethical, Legal and Operational Challenges of AI Innovations in Marine Pollution Monitoring
18. Effects of Data Quality on AI-Decision Making in Marine Pollutions: Completeness, Timeliness, Reliability, Standardization, and Representativeness
19. Frameworks for Data Governance, Access Rights, and Consent in Citizen Science Contribution
20. AI-Driven Tools for Sustainable Marine Polices and Public Awareness Strategies: Smart Oceans, Decision Support Systems and Citizen Science Projects
21. Future Directions and Challenges in AI-Based Marine Resources and Pollution Management
Product details
Product details
- Edition: 1
- Latest edition
- Published: January 1, 2027
- Language: English
About the editors
About the editors
SA
Sesan Abiodun Aransiola
Dr. Sesan Abiodun Aransiola is Lecturer at the Department of Microbiology, University of Abuja, Nigeria. He obtained his BTech, MTech, and PhD in Microbiology from the Federal University of Technology, Minna, Nigeria. His area of interest is environmental microbiology with a focus on biosorption and bioremediation. Dr. Aransiola is a member of both the Nigerian Society for Microbiology and the American Society for Microbiology, and has co-edited several books on the topic, including Elsevier’s Microbial Technology for Bioenergy (2024).
Affiliations and expertise
Postdoctoral fellow at Centre for Artificial Intelligence & Multidisciplinary Innovation Studies, Department of Auditing, College of Accounting Sciences, University of South Africa, Pretoria, South AfricaEE
Ebenezer Esenogho
Prof. Ebenezer Esenogho is a Distinguished Professor and the Head of the Centre for Artificial Intelligence and Multidisciplinary Innovation Studies (CAIMIS) at the University of South Africa (UNISA), Pretoria campus where is mentoring over thirty postdoctoral research fellows and hosting over ten Research Associate. He is also a Visiting Professor at Mbarara University of Science and Technology (MUST), Uganda, where he supports postgraduate supervision and mentor junior staff members in the field of AI/ML. Prof. Ebenezer is a recipient of numerous grants, scholarships, awards, and fellowships, including the CEPS/Eskom HVDC (2013, 2014), J.W. Nelson Award (2015), GES Post-Doctoral Fellowship (2017, 2018, 2019/20), the French/South Africa Institute of Technology (F' SAIT) SARChi Chair (2021) and NRF research grant award (2025). In 2025, he was awarded the prestigious National Research Foundation (NRF) C2-rating for researchers of international repute. His research interests include but not limited to Fifth Generation (5G) Wireless Networks, Cognitive Radio Networks, Network Security/Cybersecurity, Smart Grid, IoT/IoE, SDN/SDR, Wireless Sensor Networks, Artificial Intelligence/Machine Learning, Big Data, and Mobile/Cloud Computing.
Affiliations and expertise
Distinguished Professor and the Head of the Centre for Artificial Intelligence and Multidisciplinary Innovation Studies (CAIMIS), University of South AfricaNM
Naga Raju Maddela
Dr. Naga Raju Maddela is Professor of Microbiology at the Technical University of Manabi. He obtained his MSc and PhD in Microbiology from Sri Krishnadevaraya University, India, and conducted post-doctoral research at Sun Yat-sen University, China. His area of interest is environmental microbiology with a focus on the ecological impacts of industrial effluents and insecticides. Dr. Maddela is a member of the Microbial Society, England, the International Biodegradation & Bioremediation Society, Great Britain, and the American Society for Microbiology.
Affiliations and expertise
Professor of Microbiology, Technical University of Manabi, Portoviejo, Ecuador