The book explores the concepts and challenges in developing novel approaches using the Internet of Things, intelligent systems, machine intelligence systems, and data analytics in various industrial sectors such as manufacturing, smart agriculture, smart cities, food processing, environment, defense, stock market and healthcare. Further, it discusses the latest improvements in the industrial sectors using machine intelligence learning and intelligent systems techniques, especially robotics. Features: * Highlights case studies and solutions to industrial problems using machine learning and intelligent systems. * Covers applications in smart agriculture, smart healthcare, intelligent machines for disaster management, and smart manufacturing. * Provides the latest methodologies using machine intelligence systems in the early forecasting of weather. * Examines the research challenges and identifies the gaps in data collection and data analysis, especially imagery, signal, and speech. * Provides applications of digitization and smart processing using the Internet of Things and effective intelligent agent systems in manufacturing. * Discusses a systematic and exhaustive analysis of intelligent software effort estimation models. It will serve as an ideal reference text for graduate students, post-graduate students, IT Professionals, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

This volume discusses topics of global sustainability involving sustainability indicators, stakeholders' participation, and technological and strategic advances with the goal of "thinking locally to act globally". Scientists, academics, policymakers, and planners are currently focused on escalating global socioeconomic and ecological issues, such as rising inequality, adverse anthropogenic impacts on the environment, and deficiencies in natural resources. These variables are pushing the earth system's resistance capacity past its breaking point, with additional pressures incurred by a global pandemic. Therefore, this book looks to impart knowledge on participatory learning action research for human and environmental health and well-being. Sustainable development planning and management are needed in these pressing circumstances, and they necessitate an analytical interpretation of ongoing processes, current and future challenges, and an understanding of available tools and technologies. The main sections of the book focus on challenges and management practices for global sustainability, promoting educational values, smart initiatives in urban contexts, and integrating emerging sustainability dimensions in policies and legislation. The primary audience for the work is policy makers, urban planners, social scientists, economists, NGOs, and students, researchers, and educators engaged in environmental social science and sustainability management.