Smart village infrastructure and Industry 5.0 attempt to improve internet connectivity in rural and remote locations by delivering broadband infrastructure. Smart village is a locally led, integrated, and holistic approach to giving all people of rural communities access to digital services, with digital technology development-related services for everyone. Smart Village Infrastructure and Sustainable Rural Communities presents state-of-the-art and innovative ideas on empowering rural communities through the concepts of smart village and Industry 5.0 from experts in the domain of agriculture process improvement, sustainability, irrigation systems, and more. Covering topics such as rural development, machine learning applications, and agriculture analysis, this premier reference source is a dynamic resource for engineers, agronomists, computer scientists, government officials, public health officials, students and educators of higher education, librarians, researchers, and academicians.

Sustainable Development Goals or SDGs refer to the UN stipulated road-map for development in 17 defined areas, by 2030. It was built on the previously established Millennium Development Goals (MDG). This first volume (SDG-1) deals with eradicating poverty with the help of modern ICT technologies needed to end poverty and create a better society. This much needed book, which is the first of its type to offer a specific focus on the relationship between technology and the SDG-1 goal, will be valuable for all working in the subject of global sustainable development. Global organisations and representatives of governments targeting no poverty share knowledge on these ICT practices to eradicate poverty in all means.

Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0 is a research book that serves as a comprehensive exploration of the potential impact of Industry 5.0 and the research opportunities presented by it, a new era of industrial revolution that integrates advanced technologies with human expertise and creativity. This book delves into the transformative effects of Industry 5.0 on society, with a particular focus on human-centric approaches and the key areas of agriculture, transportation, healthcare, and more. The book examines the revolutionary impact of Industry 5.0 in various domains. It explores the application of AI and machine learning in revolutionizing agriculture, improving livestock management, optimizing fertilizer usage, and detecting agricultural diseases. Additionally, it delves into the integration of advanced technologies in healthcare, including wearable devices, sensors, and robotics, to provide personalized and efficient healthcare services. Furthermore, the book explores the implications of Industry 5.0 on transportation, smart grid systems, and education. Throughout the discussion, the book addresses the ethical and social considerations associated with Industry 5.0, such as privacy, data protection, and social inequality. Written for research scholars, graduate engineering students, and postgraduate students in the fields of computer science, agriculture, and health engineering, this book serves as a valuable resource for understanding the transformative potential of Industry 5.0.

In an era where the planet faces unprecedented environmental challenges, such as climate change, loss of biodiversity, and water scarcity, sustainable development has become paramount. Crafting a Sustainable Future Through Education and Sustainable Development delves into the crucial role of educational institutions in shaping a sustainable future from economic, social, and environmental perspectives. By examining new currents and challenges within this discipline, this book provides a valuable study resource that sheds light on the intricate relationship between education and achieving sustainability goals. The book emphasizes the vital role of educational institutions as spaces for fostering new paradigms of human behavior towards the environment. Crafting a Sustainable Future Through Education and Sustainable Development serves as a comprehensive study guide, offering critical reflections and constructive critiques. It covers an array of relevant topics, ranging from artificial intelligence and big data to gender equality, game-based learning, and socio-technological innovation. It is ideal for academics, academic students, and policymakers, this book provides invaluable support for undergraduate and master’s students in business, as well as professionals seeking to deepen their knowledge of the role of education in achieving sustainable development.

Advanced Technologies for Realizing Sustainable Development Goals: 5G, AI, Big Data, Blockchain, and Industry 4.0 Applications explores the intersection of cutting-edge technologies and their role in achieving the United Nations Sustainable Development Goals (SDGs). This book covers diverse topics, including energy-efficient cities, smart healthcare systems, blockchain for social empowerment, and sustainable agriculture. It explores the impact of 5G, AI, machine learning, and cybersecurity on smart cities, industry, and healthcare, providing valuable insights for sustainable development. Key Features: - Highlights the role of advanced technologies like 5G, AI, and blockchain in achieving SDGs - Provides case studies on smart cities, healthcare, and agriculture - Examines emerging issues in cybersecurity and sustainability - Offers insights into Industry 4.0 tools and their applications This book is essential for those seeking to understand how emerging technologies can drive global sustainability efforts. Readership Ideal for researchers, academics, professionals, and students in the fields of technology, sustainability, and development

Some 7.3 billion people currently live on the planet. Of these, 3.4 billion live in rural areas. In just a few regions—Latin America, the Middle East and North Africa—less than 50 per cent of poverty is now located in rural areas. But for the rest of the world's regions between 55 per cent and 80 per cent of the poor continue to live in the countryside. Progress is being made, but much of the knowhow needed is not disseminated outside of a small coterie of professionals who work in the area. With urban development attracting a great deal of attention lately, poorer rural areas deserve the same and new knowledge for empowerment of rural communities is urgently needed. This book provides an overview of current thinking and practices that have emerged over the last thirty years for uplifting rural communities in developing economies. Drawing on a body of knowledge across a spectrum of relevant disciplines, this book provides a range of innovative ideas for rural planning, housing and infrastructure development. Governments in many emerging economies, where rural poverty is often most acute, have attempted to improve livelihoods. Approaches and techniques that have been used for urban development are often not applicable to rural communities. Studies show that money allocated for rural development is often not effectively spent due to distance, lack of infrastructure, lack of education, poverty and other factors. Meanwhile, the gap in development between the city and country continues to grow, sometimes leading to social and political instability, in both developing and developed countries. This book seeks to provide a guidebook for meeting such challenges. Through in-depth enquiry of global practices and thinking about rural development, and selected case studies, the authors argue that careful consideration must be given to incorporating issues of resilience, resourcefulness and the involvement of communities at grassroots levels in realising the transformation of rural settlements into Smart Villages.

This book gives comprehensive insights into the application of AI, machine learning, and deep learning in developing efficient and optimal surveillance systems for both indoor and outdoor environments, addressing the evolving security challenges in public and private spaces. Mathematical Models Using Artificial Intelligence for Surveillance Systems aims to collect and publish basic principles, algorithms, protocols, developing trends, and security challenges and their solutions for various indoor and outdoor surveillance applications using artificial intelligence (AI). The book addresses how AI technologies such as machine learning (ML), deep learning (DL), sensors, and other wireless devices could play a vital role in assisting various security agencies. Security and safety are the major concerns for public and private places in every country. Some places need indoor surveillance, some need outdoor surveillance, and, in some places, both are needed. The goal of this book is to provide an efficient and optimal surveillance system using AI, ML, and DL-based image processing. The blend of machine vision technology and AI provides a more efficient surveillance system compared to traditional systems. Leading scholars and industry practitioners are expected to make significant contributions to the chapters. Their deep conversations and knowledge, which are based on references and research, will result in a wonderful book and a valuable source of information.

In the ever-evolving landscape of the modern business world, a critical challenge has emerged at the crossroads of digital transformation and sustainable development. Businesses grapple with the need to adapt to digitalization while ensuring their practices align with the imperatives of sustainability. The complexities of this intersection demand innovative solutions and profound insights. Enter Digital Transformation and Sustainable Development in Cities and Organizations – a groundbreaking book that unravels the intricacies of this challenge and provides a comprehensive roadmap for organizations navigating the digital age with a commitment to sustainability. Traditional business models are rendered obsolete as the relentless march of digitalization transforms industries. Amidst this upheaval, the imperative to embrace sustainable practices often takes a backseat. Businesses face the daunting task of navigating this dual challenge – staying technologically relevant while safeguarding the environment and societal well-being. The consequences of overlooking this intersection are profound, leading to missed opportunities for growth and contributing to the escalating threats posed by climate change. The need for a cohesive guide that addresses these intertwined challenges has never been more urgent.

This book introduces and demonstrates the state-of-the art research and development in tackling sustainable urban and rural integration, supported by digitalization and digital transformation in rural areas with Industry 4.0/5.0 technologies. Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development is centered around how to deal with the sustainable urban and rural integration with advanced digital technologies such as artificial intelligence (AI), Big Data, Crowdsourcing, Crowdsensing and digital twin applications. Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development comes from the authors international collaborative projects funded by British Council and National Sciences Foundation of China and our Newton Prize Winning project founded by UK Department for Business, Energy & Industrial Strategy. It covers digital platform design with integrated crowdsourcing, crowdsensing and digital twin technologies for smart community services and governing. The authors discuss smart textile design for health and social care and VR/AR based tele-healthcare services for plants, livestock, and people. It also presents smart building technologies and integrated services for remote rural areas. This book will be a valuable reference for multidisciplinary researchers, policy makers, urban and rural development engineers, and university students to support their research and work in AI and smart technology applications.

With the convergence of the Internet of Things (IoT) and Artificial Intelligence (AI), the traditional methods of farming are undergoing transformation. By harnessing the power of data-driven insights and automation, farmers can now make informed decisions in real time, optimize resource utilization, and mitigate risks associated with crop management and livestock welfare. This book serves as a guide to the integration of IoT and AI in agriculture and discusses the methodologies, applications, and challenges in this rapidly evolving field. It details various aspects of smart farming—from crop monitoring and precision agriculture to livestock management and food supply chain transparency—and provides insight into the potential of IoT and AI to revolutionize agricultural practices and address the global challenges of food security, environmental sustainability, and economic development. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)