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Elsevier

AI-Driven Approaches to Marine Waste

Detection, Recycling, and Ocean Sustainability

  • 1st Edition - June 1, 2027
  • Latest edition
  • Editor: Alok Prasad Das
  • Language: English

AI-Driven Approaches to Marine Waste: Detection, Recycling, and Ocean Sustainability explores the latest advancements in Artificial Intelligence (AI), biotechnology, and sustai… Read more

Description

AI-Driven Approaches to Marine Waste: Detection, Recycling, and Ocean Sustainability explores the latest advancements in Artificial Intelligence (AI), biotechnology, and sustainable management practices to address marine waste challenges effectively. From understanding the sources and impacts of marine pollution to leveraging real-time data streaming, edge computing, and smart sorting technologies, this book provides practical insights for environmental professionals, researchers, policymakers, and students alike. Filled with real-world case studies and a cross-disciplinary framework, this volume offers the tools and knowledge needed to implement sustainable, effective solutions that safeguard our oceans for future generations. Students and researchers will discover how cutting-edge AI models, microbial degradation, and circular economy strategies are revolutionizing marine waste management.

Key features

  • Provides innovative AI models, biotechnological solutions, and real-world case studies to transform marine waste management and promote ocean sustainability
  • Includes advanced technologies such as real-time data streaming, edge computing, and smart sorting systems for effective marine pollution monitoring and mitigation
  • Contains a comprehensive cross-disciplinary framework, practical insights, and strategies for researchers, policymakers, and environmental professionals aiming to safeguard marine ecosystems

Readership

Students and researchers studying marine waste, pollution

Table of contents

1. Marine Waste: An Introduction to Green and Sustainable Global Management

2. Comparison of AI Approaches versus Traditional Methods with Quantified Performance Metrics

3. Real-time Data Streaming and Edge Computing for Remote Ocean Monitoring

4. AI Models, Metrics, and Reproducibility for Marine Sustainability

5. AI-enabled Recycling Systems, Circular Material Flows, and Smart Sorting Technologies for Marine Waste Management

6. Fundamentals of Marine Plastic Chemistry, Polymer Resistance, and Biocatalytic Reaction Engineering in Marine Waste Management

7. AI and Biotechnology: Microbial and Enzymatic Waste Degradation

8. Biocatalysts and Reaction Engineering in Marine Waste Management

9. Case Studies of AI-Driven Marine Waste Solutions

10. Cross-cutting Integrative Framework for Marine Sustainability

Product details

  • Edition: 1
  • Latest edition
  • Published: June 1, 2027
  • Language: English

About the editor

Alok Prasad Das

Editor
Alok Prasad Das is Associate Professor in the School of Biotechnology at Jawaharlal Nehru University, New Delhi, India. His research focuses on bioleaching technologies for metal recovery and waste management, microbial biogeochemical cycling of manganese, and advanced mineral processing with an emphasis on microbial resource recycling for sustainable development. More recently, his work has expanded into geomicrobiology and marine microplastic pollution, including microbial biodegradation of microplastics and characterization of marine sediment contamination. With over 15 years of research experience, Dr. Das has authored more than 150 peer-reviewed publications and has been supported by multiple funded projects.
Affiliations and expertise
Associate Professor, School of Biotechnology, Jawaharlal Nehru University, New Delhi, India