Call for Chapters: Artificial General Intelligence-Based Drones for Climate Change

Editors

Inam Khan, Isra University, Pakistan
Oroos Arshi, University of Petroleum and Energy Studies, India
Keshav Kaushik, University of Petroleum and Energy Studies, India
Hamed Taherdoost, University Canada West, Canada
Khadija Slimani, Graduate School of Automatic Electronic Computing, France

Call for Chapters

Proposals Submission Deadline: May 12, 2024
Full Chapters Due: July 14, 2024
Submission Date: July 14, 2024

Introduction

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.

Objective

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.

Target Audience

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.

Recommended Topics

Chapter 1 Introduction to AGI in Drones Chapter 2 Understanding Climate Change: Causes, Effects, and Impacts Chapter 3 Role of Drones in Climate Change Mitigation and Adaptation Chapter 4 Drone Technology Evolution Chapter 5 Overview of Artificial General Intelligence (AGI): Concepts and Applications Chapter 6 Integration of AGI based Drone Systems: Challenges and Opportunities Chapter 7 Advancements in Sensor Technologies for Climate Monitoring Chapter 8 AGI-Enabled Drones for Weather Forecasting and Prediction Chapter 9 Monitoring and Analyzing Biodiversity with AGI based Drones Chapter 10 Artificial General Intelligence Drones in Climate Modeling Chapter 11 Precision Agriculture with Artificial General Intelligence Chapter 12 Environmental Degradation with AGI based Drones Chapter 13 Disaster Response and Management with AGI-Enabled Drone Network Chapter 14 The Potential of AGI based Drones in Climate Change Mitigation Chapter 15 Successful Applications of AGI Drones in Climate Change Scenarios Chapter 16 Cybersecurity Challenges for AGI Drones in Climate Change Mission Chapter 17 Cloud Computing for AGI Drones for Climate Change Chapter 18 Machine Learning in AGI Drones for Climate Change Chapter 19 IoT Integration in AGI Drones for Climate Change Chapter 20 Deep Learning Applications in Climate Change Chapter 21 Cutting-Edge Innovations: The Future of AGI drones in Climate change Chapter 22 Energy Efficiency and Sustainability in AGI Drone Operations Chapter 23 Risk Assessment in AGI Drone for Climate Monitoring Chapter 24 Case Studies in AGI drones for climate change

Submission Procedure

Researchers and practitioners are invited to submit on or before May 12, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by May 26, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by July 14, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Artificial General Intelligence-Based Drones for Climate Change. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

May 12, 2024: Proposal Submission Deadline
May 26, 2024: Notification of Acceptance
July 14, 2024: Full Chapter Submission
August 18, 2024: Review Results Returned
September 15, 2024: Final Acceptance Notification
September 22, 2024: Final Chapter Submission



Inquiries

Inam Khan
Isra University
inamullahkhan05@gmail.com

Oroos Arshi
University of Petroleum and Energy Studies
oroosarshi523@gmail.com

Keshav Kaushik
University of Petroleum and Energy Studies
officialkeshavkaushik@gmail.com

Hamed Taherdoost
University Canada West
hamed.taherdoost@gmail.com

Khadija Slimani
Graduate School of Automatic Electronic Computing
Pr.kslimani@gmail.com



Classifications


Computer Science and Information Technology; Environmental, Agricultural, and Physical Sciences; Security and Forensics
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