Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability
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Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability

Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability


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About the Book

Harnessing the Potential of Artificial Intelligence to Promote Environmental Sustainability provides a comprehensive examination of how AI is transforming environmental conservation and sustainability efforts. This scholarly work delves into cutting-edge AI technologies—such as automation, data analytics, and machine learning—and explores their potential to address pressing environmental challenges. Through in-depth analysis and practical case studies, the book demonstrates how AI can enhance resource management, support sustainable practices, and improve environmental monitoring. Beyond technical solutions, the authors engage with the ethical considerations and potential risks of deploying AI in environmental contexts. Issues such as fairness, transparency, and accountability in AI systems are explored, along with the need for regulatory frameworks to mitigate negative impacts. An essential resource for researchers, professionals, policymakers, and anyone interested in the intersection of technology and environmental stewardship, this contributed work offers a roadmap for leveraging AI to foster a sustainable future, emphasising the crucial role of advanced technologies in addressing global environmental challenges.

Table of Contents:
Chapter 1. Designing An Application For Environmental Sustainability: Leveraging IOT AND AI For Data Collection and Analysis; Demin Anton Yuryevich, Bragin Aleksander Dmitriyevich, Dmitriychuk Darya Igorevna, and Zarubin Vladislav Aleksandrovich Chapter 2. Applications and Challenges of Real-Time Data Analysis in the Field of Disaster Prevention, Reduction, and Relief; Jeya Sutha M, Ramesh Dhanaseelan F, and Jabanesha S Chapter 3. Providing an Intelligent Sustainable Solution for Electricity Management; Sudakshina Dasgupta, Tamal Mondal, Indrajit Bhattacharya, and Tanmoy Paul Chapter 4. Ethical Perspectives of Artificial Intelligence – A Bibliometric Analysis; Soumik Gangopadhyay, Rabin Mazumder, Soumyadeep Dhol, Alolika Datta, Moupia Kundu, Suhrit Tewary, and Aparajita Bhattacharya Chapter 5. Harnessing AI for Waste Management and Circular Economy: Enhancing Recycling and Resource Efficiency; Mainak Saha, Rabin Bhaumik, and Shriya Chakraborty Chapter 6. Optimized Plant Identification through Leaf Feature Extraction Using Deep Learning and Advanced Digital Image Processing Techniques; Mainak Saha and Sushanta Das Chapter 7. Exploring The Role Of Virtual Reality In Promoting Sustainable Tourism Practices Amidst Covid-19 Pandemic; Doyel Mukherjee Prodhan, Archan Mitra, Amrita Mitra Mukherjee, and Soumik Gangopadhyay Chapter 8. Environmental Informatics promotion using Artificial Intelligence & Allied Technologies: The Applications, Sustainability & Educational Perspectives; P. K. Paul Chapter 9. E-Wastes Management in AI context: The Opportunities & Challenges in Educational & Healthcare Waste - A Scientific Study; Ritam Chatterjee and Abhijit Bandyopadhyay Chapter 10. Artificial Intelligence & Sustainability in the context of Smart City and Urban Development: An Overview; Nilanjan Das Chapter 11. Developing AI-friendly environmental policies addressing regulatory challenges and opportunities, AI and global environmental governance and funding, incentives for AI driven environmental initiatives; Tathagata Roy Chowdhury and Aniruddha Nag Chapter 12. A Survey On Sql Injection Attack Detection Using Machine Learning; Silambarasan Elkana, Harish Vishwa S M, Harsh Raj, Harsh Gupta, and Likhitha Chapter 13. Role of Artificial Intelligence in Sustainable Environment Practices; Parijata Majumdar

About the Author :
Parijata Majumdar is an Associate Professor at Techno College of Engineering Agartala. She completed her B.E in Computer Science in Engineering from TIT, Narsingarh, affiliated under Tripura University in the year 2016. Aniruddha Nag is an Associate Professor, Techno India Group. Nag received his B.Sc(H) from Calcutta University, M.Phil degree from MAKAUT(former WBUT) and PhD from WBSU. Diego Alberto Oliva Navarro is an Associate Professor at the Department of Computer Sciences of the Universidad de Guadalajara in the Centro Universitario de Ciencias Exactas e Ingenierias located in Jalisco, Mexico. 


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Product Details
  • ISBN-13: 9781836629962
  • Publisher: Emerald Publishing Limited
  • Publisher Imprint: Emerald Publishing Limited
  • Language: English
  • ISBN-10: 1836629966
  • Publisher Date: 13 Jan 2026
  • Binding: Digital download
  • No of Pages: 288


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