Preface

The concept of smart cities and villages has improved the quality of human life by keeping the people informed, connected and engaged. Technology is transforming human lives by playing an important role in the planning, designing, and development of smart cities and villages. This book presents a cross-disciplinary perspective on the concept of smart cities and villages by congregating cutting-edge research and insights from worldwide researchers, academicians and practitioners. It identifies and discusses various advanced technologies such as artificial intelligence, machine learning, IoT, blockchain, network security, cloud computing, fuzzy logic, and sensors to provide effective solutions to the lifestyle challenges faced by humankind.

The innovations may include real-time monitoring of the patients with flexible wearable sensors, disease diagnosis and treatment with the best diagnostic tools. The advent of Cloud Computing and IoTr has made it convenient to streamline health records that can be accessed remotely by patients and professionals. The primary concern of this book is to equip beginners as well as advanced readers with knowledge related to the field of smart cities and villages. For instance, the use of advanced technologies such as drones with sensors can assist a farmer in remotely monitoring the crop and soil for detecting diseases, and nutrition in plants, respectively. Similarly, technologies can be harnessed for smart transportation, healthcare, smart farming solutions, and robotics based implementation in real-time scenarios

This book is a significant addition to the body of knowledge emerging to profile the novel reality of artificial intelligence and smart city. The chapters deal with specific areas where automation aids creativity and efficiency in making smart cities and villages. This deliberate choice of a diversity of fields of coverage is to emphasize the applications of artificial intelligence in almost every contemporary aspect of the society and assist those working in these sectors in understanding the working and strategic opportunities offered by artificial intelligence in their domain of activity.

We hope that readers will draw several benefits from the theoretical and practical aspects covered in this book to enhance their own practice or research. The book’s coverage is as follows:

Chapter 1 discusses the Role of Artificial Intelligence in the Emergence of Smart Cities. Chapter 2 discusses Smart City and Village: Future Trends. The work includes studying a few smart township projects and the type of hardware and software available across the world and the insight gained through cost benefit analysis and more will be presented in the chapter. Chapter 3 delineates Smart Transportation Systems: Recent Developments, Current Challenges and Opportunities. This chapter covers a case study of Indian cities to reduce traffic congestion, avoid accidents and manage the transportation systems in a much better way by using STS technologies. Chapter 4 focuses on the Adaptation of Blockchain in Internet of Medical Things for Remote Patient Monitoring (RPM). This chapter deals with the collaboration of blockchain innovation in the IoT security in terms of the RPM framework. Chapter 5 explores Analyzing Plant Leaf for Detecting Disease by using a Convolutional Neural Network. Here, the main approach is to detect the disease in plant leaves for increasing the productivity of crops in agriculture. Chapter 6 includes practical and theoretical perspectives on Humanoid robots for Aadhaar Service in Rural Development. The present study is about the humanoid robot which collects the information and processes mechanisms with similarity to the human mind. It is designed with various integrated devices such as an iris scanning system, user interface display board, fingerprint authenticator, automated printer, etc. An AI decision marking system supports user interaction with the robot. It accepts the authentication and allows the user for further interaction. Chapter 7 explains Indoor Object Classification System using Neural Networks for Smart Environments. This chapter proposes to develop a new indoor assistance navigation system using deep convolutional neural networks. Chapter 8 explains IoT Enabled Smart Village for Sustainable Development. The approach in this chapter is to bring IoT technology to Villages by showing a network of linked sensors and knowledge dissemination devices, controlling energy use and ensuring infrastructure protection. It gives a wide-ranging vision of enhancing the standard of living in villages and encourages to meet the essential needs of domestic villagers. Chapter 9 presents Smart Villages - Scope for Internet of Things and Cloud applications. Initially, this chapter describes technologies of IoT such as IoT Architecture, Sensors/Devices details, the configuration of Data, coding possibilities with their own Examples. This chapter also discusses how the cloud is integrated with IoT, web Services and IoT Services on cloud, cloud Interfaces, tools for IoT and storage of IoT data on the cloud. This chapter also discusses different case studies that can be applied for different applications in rural areas. The IoT technology used in various spheres of village life will enhance the development of rural areas making them financially strong, improving the quality of village life and helping them to become smart villages. Chapter 10 focuses on the emergence of Artificial Intelligence Enabled Smart Cities for Premises Security. In this chapter, the security aspect is majorly focused on building smart city applications. Chapter 11 deals with Intelligent IoT Enabled Lighting System. This chapter presents the numerous options for creating and implementing IoT-based smart lighting solutions. Chapter 12 provides an understanding of how Humanoid Robots are useful for Rural Education Systems. This chapter will explore relevant case studies, robotic learning technology and propose a viable model to implement this successfully in rural areas, thus, improving the engagement level of the students. Chapter 13 explores the Traffic Signs Detection for Smart Public Transport Vehicles: Cascading Convolutional Autoencoder with Convolutional Neural Network. In this chapter, the authors introduced a traffic sign detection method based on auto-encoders and Convolutional Neural Networks. Chapter 14 thoroughly explains the impact of automation and AI in the field of agriculture today. It also highlights the usage of prominent AI techniques nowadays and possible research directions to make use of AI to assist the farmers. Chapter 15 discusses digital farming and its best practices to lead sustainable agricultural practices which enable farmers to have better productivity and at the same time provide consumers with safe, highly nutritious and better cultivated food. Chapter 16 emphasizes how to apply the Smart Farming Solution for Crop Diseases Prediction and Protection. Smart farming systems help farmers to increase crop production by automated systems. Crop diseases can be predicted by a comprehensive analysis system. Smart farming system with Artificial Intelligence (AI) observes and manages Internet of Things (IoT) devices to detect crop diseases by visual symptoms. Smartphone-based AI apps guide farmers for disease diagnosis, thus preventing the yield loss.

Editor(s)

The book is edited by a team of academicians and experts. The team comprises of: