Artificial General Intelligence-Based Drones for Climate Change

Inam Ullah Khan, Oroos Arshi, Keshav Kaushik, Hamed Taherdoost, Khadija Slimani

Pages: 300

DOI: 10.4018/979-8-3693-6457-4

ISBN13: 9798369364574|EISBN13: 9798369364581

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Description & Coverage

Description:

The book "Artificial General Intelligence Based Drones for Climate Change" is a comprehensive exploration of how advanced technologies, particularly Artificial General Intelligence (AGI), can be leveraged to address the challenges posed by climate change. Through its meticulously structured chapters, the book delves into various facets of utilizing AGI-enabled drones to monitor, mitigate, and adapt to the impacts of climate change. In the introductory chapters, the book sets the stage by elucidating the fundamental concepts of AGI and its integration into drone systems. It outlines the potential of AGI to enhance the capabilities of drones in climate-related tasks such as monitoring environmental parameters, predicting weather patterns, and assessing biodiversity. As the narrative progresses, the book delves into the intricacies of climate change itself, examining its causes, effects, and broader implications. It highlights the urgent need for innovative solutions to combat climate change and underscores the pivotal role that drones equipped with AGI can play in this endeavor. Subsequent chapters provide a detailed overview of drone technology evolution, advancements in sensor technologies, and the integration of AGI for weather forecasting, biodiversity monitoring, and climate modeling. Through case studies and practical examples, the book illustrates how AGI-driven drones can revolutionize various aspects of climate change mitigation and adaptation strategies.

Moreover, the book addresses the challenges and opportunities inherent in deploying AGI-enabled drones for climate-related missions. It explores topics such as cybersecurity, cloud computing, machine learning, IoT integration, and deep learning applications in the context of climate change. Additionally, the book delves into issues related to energy efficiency, sustainability, and risk assessment in AGI drone operations, underscoring the importance of the responsible and ethical deployment of these technologies. Overall, "Artificial General Intelligence-Based Drones for Climate Change" serves as a seminal resource for researchers, practitioners, policymakers, and enthusiasts interested in harnessing cutting-edge technologies to combat the existential threat of climate change. It provides a holistic perspective on the intersection of AGI, drone technology, and climate science, offering insights into the transformative potential of these innovations in safeguarding the planet for future generations. This book is like a friendly guide that helps readers understand how advanced technologies, specifically drones equipped with Artificial General Intelligence (AGI), can be used to combat climate change. Each chapter takes the reader on a journey, breaking down complex ideas into easy-to-understand concepts. In Chapter 1, readers are introduced to the idea of AGI in drones. They learn how drones can become smart and capable of doing more than just flying around. Chapter 2 delves into the basics of climate change, explaining what causes it and why it's such a big deal. Readers get a clear understanding of the problem we're facing. Moving on to Chapter 3, readers discover the specific ways drones can help with climate change. They learn how drones can monitor the environment and even help communities adapt to changes. Chapter 4 provides a history lesson on drones, showing how they've evolved to become the powerful tools they are today. In Chapter 5, readers explore the world of AGI, understanding its concepts and potential applications, especially when combined with drone technology. Chapter 6 gets into the nitty-gritty of integrating AGI into drone systems. Readers learn about the challenges and opportunities involved in making this happen. The subsequent chapters cover topics like sensor technologies, weather forecasting, biodiversity monitoring, climate modeling, precision agriculture, disaster response, and more. Each chapter gives readers practical insights into how AGI drones can be used to address different aspects of climate change. As readers progress through the book, they gain a holistic understanding of how AGI-enabled drones can revolutionize our approach to climate change. They learn about the latest innovations, potential risks, and ethical considerations involved in deploying these technologies. The book empowers readers to see the potential of technology in creating a more sustainable future and inspires them to contribute to the fight against climate change in meaningful ways.

Strengths of this book are:

1. Practical Implementation Guidelines: Readers will gain actionable insights into implementing AGI-enabled drones for climate change mitigation and adaptation, with step-by-step guidance on deploying drone technology effectively in various environmental scenarios.

2. Cutting-edge Technology Insights: The book offers a deep dive into the latest advancements in AGI, drone technology, and sensor systems, empowering readers to stay ahead of the curve and harness the full potential of emerging technologies in combating climate change.

3. Case Studies and Real-world Examples: Through engaging case studies and real-world examples, readers will learn how AGI-enabled drones are being successfully utilized in diverse climate change applications, providing inspiration and practical guidance for their environmental initiatives.

4. Comprehensive Coverage of Climate-related Topics: From climate modeling to disaster response, the book comprehensively covers a wide range of climate-related topics, equipping readers with a holistic understanding of the challenges and opportunities in addressing climate change with AGI drones.

5. Interdisciplinary Approach: By adopting an interdisciplinary approach that integrates insights from environmental science, technology, and artificial intelligence, the book offers a nuanced understanding of the complex interactions between human activities and the environment, enabling readers to make informed decisions and drive positive change.

Primary Readership/Market:

1. Researchers and Academics in AI and Robotics: This group comprises scholars and experts interested in the intersection of artificial general intelligence (AGI) and drone technology for environmental applications. They seek advanced insights, theories, methodologies, and case studies to enhance their understanding and contribute to the field.

2. Environmental Scientists and Climate Change Experts: Professionals concerned with monitoring and mitigating climate change will find value in understanding how AGI-powered drones can revolutionize data collection, analysis, and interventions in environmental monitoring, climate modeling, and disaster management.

3. Engineering and Technology Enthusiasts: Individuals working in the fields of robotics, unmanned aerial vehicles (UAVs), and AI engineering who are keen on exploring innovative applications and advancements in their domain.

Secondary Readership:

1. Policy Makers and Government Officials: Those involved in formulating environmental policies and regulations may benefit from insights into the potential of AGI-driven drones in addressing climate change challenges, which can inform policy decisions and resource allocation.

2. Environmental NGOs and Advocacy Groups: Organizations dedicated to environmental conservation and activism can gain actionable knowledge from the book to enhance their strategies, advocacy efforts, and project implementations.

3. Students and Educators: This includes undergraduate and graduate students studying AI, robotics, environmental science, or related disciplines, as well as educators looking for supplementary materials for courses related to AGI, drones, or climate change.

4. Industry Professionals and Innovators: Individuals working in the private sector, especially in tech companies, startups, or consulting firms focusing on environmental solutions or drone technology, may seek insights for product development, innovation, or investment opportunities.

Professional Organizations/Societies Interested:

1. IEEE Robotics and Automation Society (RAS): RAS focuses on the theory and applications of robotics and automation across various domains. They may be interested in the intersection of AI, drones, and environmental applications.

2. American Geophysical Union (AGU): AGU is a global organization dedicated to advancing Earth and space sciences. They often explore innovative technologies for environmental monitoring and climate research, making them potential stakeholders.

3. Association for Unmanned Vehicle Systems International (AUVSI): AUVSI is a leading organization dedicated to advancing the unmanned systems and robotics community. They could be interested in the technological advancements and applications of drones in climate change mitigation.

4. International Society for Artificial Intelligence in Education (AIED): AIED focuses on the advancement of AI and educational technologies. They might be interested in the educational implications of AGI-driven drones for climate change studies and awareness.

5. Ecological Society of America (ESA): ESA promotes the science and practice of ecology. They may have an interest in how drones, powered by AI, contribute to ecological research and environmental monitoring, aiding in climate change mitigation efforts.

6. International Federation of Robotics (IFR): IFR represents the global robotics community and could be interested in the technological advancements and applications of drones powered by artificial general intelligence.

7. Climate Action Network (CAN): CAN is a global network of NGOs working to combat climate change. They might be interested in how AI-powered drones contribute to climate change research, monitoring, and adaptation strategies.

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Editor/Author Biographies

Dr. Inam Ullah Khan is the Founder of AIEYS. He was visiting researcher at king’s College London, Uk. Also, he was faculty member at different universities in Pakistan which include Center for Emerging Sciences Engineering & Technology (CESET), Islamabad, Abdul Wali Khan University, Garden Campus, Timergara Campus, University of Swat & Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad Campus. He did Ph.D. in Electronics Engineering from Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). Also, he did his M.S. degree in Electronic Engineering at Department of Electronic Engineering, Isra University, Islamabad Campus, School of Engineering & Applied Sciences (SEAS). He had done undergraduate degree in Bachelor of Computer Science from Abdul Wali Khan University Mardan, Pakistan. Apart from that his Master’s thesis is published as a book on topic “Route Optimization with Ant Colony Optimization (ACO)” in Germany which is available on Amazon. More interestingly, he use to teach subjects like Computer Network Security, Artificial Intelligence, Evolutionary Computing, Professional Practice, Software Engineering, Data Communication & Networks, Data Base, Cyber Security, Visual Programming, Computer Organization & Assembly Language and introduction to programming. He authored/coauthored more than 30 research articles in reputable journals, conferences and book chapters. More interestingly he recently introduced a novel routing protocol E-ANTHOCNET in the area of flying ad hoc networks. His research interest includes Network System Security, Intrusion Detection, Intrusion Prevention, cryptography, Optimisation techniques, WSN, IoT, Mobile Ad Hoc Networks (MANETS), Flying Ad Hoc Networks, and Machine Learning. He has served international conferences as Technical program committee member which include, EAI International Conference on Future Intelligent Vehicular Technologies, Islamabad, Pakistan and 2nd International Conference on Future Networks and Distributed Systems, Amman, Jordan, June 26–27, 2018, International Workshop on Computational Intelligence and Cybersecurity in Emergent Networks (CICEN’21) that will be held in conjunction with the 12th International Conference on Ambient Systems, Networks and Technologies (EUSPN2021) which is co-organized in November 1–4, 2021, Leuven, Belgium. Also, he was technical program committee member at international workshop on intelligent systems for sustainable smart cities, New Delhi, India, February 19–20, 2022. In addition, he served as Editor in about 12 Books on Various topics. Currently, he served as special session chair at International Conference on Advances in Communication Technology and Computer Engineering ICACTCE'22 on topic: Fusion of Emerging Technologies: Communication Networks & Future Applications. Also, he is Guest Editor with many International Journals. Apart from that he is General Chair at International Conference on Trends and Innovations in Smart Technologies (ICTIST’22), virtually from London, United Kingdom. At the moment he is General Chair at 2nd International Conference on Trends and Innovations in Smart Technologies (ICTIST’24). More interestingly, he was invited as technology expert many times on Pakistan National Television.

Oroos Arshi is a Research Scientist at AI-EYS, where she is architecting the future through innovation and academic brilliance. She was awarded the Young Researcher award at the International Conference on Emerging Trends and Innovations (ICETI) 2024 held in Pakistan. She is a dedicated Research Scholar at the University of Petroleum and Energy Studies in Dehradun, India. She completed her postgraduate degree M. Tech in Cyber Security and Forensics from the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India. She has done her undergraduate degree in Bachelor of Technology in Computer Science and Engineering from Integral University, Lucknow, India. She has earned a gold badge as well as a silver badge for problem-solving for Design Analysis and Algorithm (DAA) from Hacker Rank. Apart from that, she has around 20 international publications in reputed journals, conferences, and book chapters. Her five books have been accepted as an editor by prestigious publishers including Wiley, IGI Global, Springer, Apple Academic Press, and Taylor & Francis. She has served as a speaker at numerous conferences, including her recent participation at the International Conference on Emerging Trends and Innovations held in Pakistan. She has also presented her work at numerous IEEE conferences and international conferences in India, Morocco, Pakistan, and various other countries. Her expertise has been showcased on various occasions, demonstrating her commitment to sharing insights and contributing to advancements in her field on a global platform. Her research interests include Artificial Intelligence, the Internet of Things, Computer Vision, Natural language Processing, Cybersecurity, and Cloud Computing.

Keshav Kaushik is an experienced educator with over eight years of teaching and research experience in Cybersecurity, Digital Forensics, and the Internet of Things. He is working as an Assistant Professor (Senior Scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published 60+ research papers in International Journals and has presented at reputed International Conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He acted as a keynote speaker and delivered 50+ professional talks on various national and international platforms. He has edited over ten books with reputed international publishers like Springer, Taylor and Francis, IGI Global, Bentham Science, etc. He has chaired various special sessions at international conferences and also served as a reviewer in peer-reviewed journals and conferences.

Hamed Taherdoost is an award-winning leader and R&D professional. He is founder of the Hamta Group | Hamta Business Corporation, and Associate Professor at University Canada West. He has over 20 years of experience in both industry and academia sectors. He has worked at international companies from Cyprus, the UK, Malta, Iran, Malaysia, and Canada and has been highly involved in development of several projects in different industries; healthcare, transportation, residential, oil and gas and IT. Apart from industry, he has been a university lecturer in three different parts of the world, Southeast Asia, the Middle East, and North America. Currently, he is an Adjunct Professor at Westcliff University, mentor at Futurpreneur Canada, Advisory Board of Cambridge Scholars Publishing, UK, Senior Technical Consultant at CI Solutions Ltd, Innotek Consulting Ltd & Quark Minded Technology Inc and Chair of Research and Scholarly Activities Committee at University Canada West. He is a certified cybersecurity technologist and a senior member of IEEE, IAEEEE, IASED, & IEDRC, Fellow Member of ISAC, WGM of IFIP TC11, member of CSIAC, ACT-IAC and AASHE.

Dr. Khadija Slimani completed her Ph.D., which was jointly supervised by the University of Ibn Tofail in Morocco and the University of Technology of Belfort Montbeliard (UTBM) in France. This collaborative international effort showcased her commitment to academic excellence and cross-cultural research. During her doctoral studies, Dr. Slimani delved into the realms of machine learning, deep learning, pattern recognition, and computer vision, with a specific focus on academic emotion recognition. This interdisciplinary approach, spanning both Moroccan and French academic environments, enriched her research experience and contributed to the global perspective of her work. After completing her Ph.D. thesis, Dr. Slimani pursued a postdoctoral position at the University of Poitiers, France, demonstrating her versatility in research by delving into Objects DRI (Detection, Recognition, and Identification). Her application of AI methodologies aimed at enhancing video content filtering for optimal security reflected the international scope of her expertise. Dr. Slimani's academic contributions extended to various engineering schools in Paris, France, where she took on teaching responsibilities across multiple modules, including data science, deep learning, machine Learning, data bases, and computer vision. Currently holding the esteemed title of Associate Professor at the Graduate School of Automatic Electronic Computing in Paris, France. Her scholarly achievements include over 18 published articles in esteemed journals and conferences, supported by an impressive h-index of 10 in Scopus. Notably, she played a key role as a guest editor for the special issue "Integrating Intelligence: Advancements in Applied Research with Smart Technologies" in the Journal of Autonomous Intelligence (eISSN: 2630-5046) and served as a guest editor for the proceedings published in E3S Web of Conference 2022 and 2023, both Scopus/web of science indexed. Through her diverse roles, Dr. Slimani consistently inspires and contributes to shaping the next generation of researchers.

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