In the dynamic realm of agriculture, artificial intelligence (AI) and machine learning (ML) emerge as catalysts for unprecedented transformation and growth. The emergence of big data, Internet of Things (IoT) sensors, and advanced analytics has opened up new possibilities for farmers to collect and analyze data in real-time, make informed decisions, and increase efficiency. AI and ML are key enablers of data-driven farming, allowing farmers to use algorithms and predictive models to gain insights into crop health, soil quality, weather patterns, and more. Agriculture is an industry that is deeply rooted in tradition, but the landscape is rapidly changing with the emergence of new technologies. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture is a comprehensive guide that explores how the latest advances in technology can help farmers make better decisions and maximize yields. It offers a detailed overview of the intersection of data, AI, and ML in agriculture and offers real-world examples and case studies that demonstrate how these tools can help farmers improve efficiency, reduce waste, and increase profitability. Exploring how AI and ML can be used to achieve sustainable and profitable farming practices, the book provides an introduction to the basics of data-driven farming, including an overview of the key concepts, tools, and technologies. It also discusses the challenges and opportunities facing farmers in today’s data-driven landscape. Covering such topics as crop monitoring, weather forecasting, pest management, and soil health management, the book focuses on analyzing data, predicting outcomes, and optimizing decision-making in a range of agricultural contexts.

The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies. Technical topics discussed in the book include: Precision agriculture Machine learning Wireless sensor networks IoT Deep learning

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence. This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks. The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.

This book focuses on futuristic approaches and designs for real-time systems and applications, as well as the fundamental concepts of including advanced techniques and tools in models of data-driven blockchain ecosystems. The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and Emerging Technologies discusses how to implement and manage processes for releasing and delivering blockchain applications. It presents the core of blockchain technology, IoT-based and AI-based blockchain systems, and various manufacturing areas related to Industry 4.0. The book illustrates how to apply design principles to develop and manage blockchain networks, and also covers the role that cloud computing plays in blockchain applications. All major technologies involved in blockchain-embedded applications are included in this book, which makes it useful to engineering students, researchers, academicians, and professionals interested in the core of blockchain technology.

The title of the book “Environment and Sustainable Development: Perspectives and Issues” itself represents that the book is having topics related to current environmental problems and its possible solutions. This edition of book focuses on the issues related to sustainable use and management of natural resources and e-waste management. Several methods to handle a wide spectrum of environmental issues are taken into account in numerous chapters. Climate change is one of the greatest challenges of the 21st century. Climate is changing across our planet, largely, as a result of human activities. Some of the book chapters also provide a holistic coverage of the climate change policies and role of India. Climate change and various infectious diseases, proposes a comprehensive set of solutions to resolve various issues related to environment. The impacts of climate change are becoming increasingly severe, natural resources are being depleted at an alarming rate, and the gap between the rich and poor is widening. The need for sustainable development has never been more pressing than present. Therefore, this book makes a valuable contribution to the ongoing conversation, challenges and opportunities around many critical issues. The chapter in the book explore a wide range of topics related to sustainability, including the role of renewable energy, the need for sustainable agriculture, the importance of community engagement, and the impact of climate change. The authors come from diverse academic and professional backgrounds, and they are expert at their disciplines. The authors come from diverse academic and professional background, and their insight provide a valuable contribution to the ongoing conservation around environmental protection and sustainable development. The editors of this book are to be commended for bringing together such a diverse group of contributors, and for presenting a balanced and nuanced exploration of these complex issues.

This book includes best selected, high-quality research papers presented at International Conference on Data Driven Computing and IoT (DDCIoT 2021) organized jointly by Geetanjali Institute of Technical Studies (GITS), Udaipur, and Rajasthan Technical University, Kota, India, during March 20–21, 2021. This book presents influential ideas and systems in the field of data driven computing, information technology, and intelligent systems.

WELCOME TO THE FIFTH INDUSTRIAL REVOLUTION! The progression of all the industrial revolutions tells an interesting tale. While the first two had a cycle of over a hundred years each, the third reduced it to around seventy years. With the fourth industrial revolution, the world took a giant leap in connectivity. However, not many would have imagined that the fourth industrial revolution, would give way to the fifth within the next decade, paving the way for exponential technology-led transformation. As you read this, creative destruction of business models taking place across the world in every sector. From the ashes of the old are rising stunning new models. The Next New identifies and profiles the deep shifts that are fundamentally changing professional careers and revenue models in every industry-from mobility, aerospace and smart manufacturing to green energy, automation and artificial intelligence, and a whole range of disruptive technologies. Driven by emerging technologies, demand for social inclusion and the urgency of sustainable practices, a multitrillion-dollar transition is under way. Drawing on numerous interviews of business leaders and cutting-edge research findings from MarketsandMarkets, this book provides a practical roadmap to businesses as they prepare for the new ecosystem being created, in turn helping to articulate the fifth industrial revolution with greater success.

WALL STREET JOURNAL BESTSELLER A pioneering venture capitalist provides an actionable framework for founders and executives to create innovative, enduring companies built for growth and for societal good. The Milton Friedman philosophy that companies exist only to increase shareholder value is dead and buried. The old Silicon Valley tenets of “move fast and break things,” minimum viable products, and hyper engagement at any cost must be replaced with new principles for an era of responsible innovation. We can no longer manage businesses solely for growth. With innovation comes responsibility: to generate returns beyond profits and to recenter technology as a force for good in the world. This requires a shift in the way organizations approach and value work. A company’s mindset—its intent to do good, avoid harmful consequences, and innovate responsibly—is not enough. That mindset must be supported by a business model, a mechanism that leaders must intentionally and proactively build along with the company from the ground up, one that incentivizes and rewards the organization for fulfilling its intentions. Companies need a new set of KCIs, or key consequence indicators, that measure factors such as its impact on customers’ energy consumption, whether its product is being used equally across socioeconomic groups, or if it is actually solving the social problem it is addressing. Not only is this the right thing to do—increasingly, it is what customers, employees, and shareholders demand of business. In this inspiring, practical, and actionable guide, Hemant Taneja: lays out the argument for why a new model of company building and leadership is necessary—and how it can lead to better performance explores why social-good businesses are some of the greatest opportunities today, detailing examples of billion-dollar startups that are addressing inequality, climate change, systemic societal problems, and chronic disease—all while generating profit and positive shareholder returns presents a topic-by-topic road map that addresses business models, artificial intelligence, ethical growth, culture, governance, and good citizenship Intended Consequences is designed as the ultimate playbook for founders, entrepreneurs, leadership teams, and investors on how to build and maintain a responsible innovation company.