Internet of Things and Analytics for Agriculture, Volume 3, Pattnaik Prasant Kumar, Kumar Raghvendra, Pal Souvik
Автор: Mangla Monika, Satpathy Suneeta, Nayak Bhagirathi Название: Integration of Cloud Computing with Internet of Things: Foundations, Analytics and Applications ISBN: 111976887X ISBN-13(EAN): 9781119768876 Издательство: Wiley Рейтинг: Цена: 193190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume is a guide for scholars, policymakers, attorneys, teachers, judges, and students interested in the theories, policies, and doctrines of copyright law. Featuring experts from around the world, the handbook offers a systematic, comparative study of copyright in major jurisdictions including the United States, the European Union, and China.
Автор: Aboul Ella Hassanien Название: Cognitive Internet of Medical Things for Smart Healthcare ISBN: 3030558320 ISBN-13(EAN): 9783030558321 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.
Автор: Singh Rajesh, Thakur Amit Kumar, Gehlot Anita Название: Internet of Things for Agriculture 4.0: Impact and Challenges ISBN: 1774630028 ISBN-13(EAN): 9781774630020 Издательство: Taylor&Francis Рейтинг: Цена: 133730.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an insightful look at the varied and exciting uses and applications of Wi-Fi and the Internet of Things in agriculture. The volume will be useful for those involved in agricultural operations as well as scientists and researchers, and faculty and students in agriculture and computer and information science engineering.
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments.
Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people's imaginations as to what a fully connected world can offer.
Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions.
The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Автор: Nilanjan Dey; Aboul Ella Hassanien; Chintan Bhatt; Название: Internet of Things and Big Data Analytics Toward Next-Generation Intelligence ISBN: 3319868640 ISBN-13(EAN): 9783319868646 Издательство: Springer Рейтинг: Цена: 144410.00 T Наличие на складе: Нет в наличии. Описание: This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.
Автор: Valentina E. Balas; Vijender Kumar Solanki; Raghve Название: Internet of Things and Big Data Analytics for Smart Generation ISBN: 3030042022 ISBN-13(EAN): 9783030042028 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications. Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.
Автор: Chakraborty Chinmay, Ghosh Uttam, Ravi Vinayakumar Название: Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics ISBN: 3030666328 ISBN-13(EAN): 9783030666323 Издательство: Springer Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics.
Showcases the latest trends in new virtual/augmented reality healthcare and medical applications and provides an overview of the economic, psychological, educational and organizational impacts of these new applications and how we work, teach, learn and provide care.
With the current advances in technology innovation, the field of medicine and healthcare is rapidly expanding and, as a result, many different areas of human health diagnostics, treatment and care are emerging. Wireless technology is getting faster and 5G mobile technology allows the Internet of Medical Things (IoMT) to greatly improve patient care and more effectively prevent illness from developing.
This book provides an overview and review of the current and anticipated changes in medicine and healthcare due to new technologies and faster communication between users and devices.
The groundbreaking book presents state-of-the-art chapters on many subjects including:
A review of the implications of Virtual Reality (VR) and Augmented Reality (AR) healthcare applications
A review of current augmenting dental care
An overview of typical human-computer interaction (HCI) that can help inform the development of user interface designs and novel ways to evaluate human behavior to responses in VR and other new technologies
A review of telemedicine technologies
Building empathy in young children using augmented reality
AI technologies for mobile health of stroke monitoring & rehabilitation robotics control
Mobile doctor brain AI App
An artificial intelligence mobile cloud computing tool
Development of a robotic teaching aid for disabled children
Training system design of lower limb rehabilitation robot based on virtual reality
Автор: Prasant Kumar Pattnaik; Raghvendra Kumar; Souvik P Название: IoT and Analytics for Agriculture ISBN: 9811391769 ISBN-13(EAN): 9789811391767 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Нет в наличии. Описание: This book presents recent findings on virtually every aspect of wireless IoT and analytics for agriculture. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. In turn, it addresses the latest innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of IoT and analytics for agriculture. In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
Автор: Prasant Kumar Pattnaik; Raghvendra Kumar; Souvik P Название: IoT and Analytics for Agriculture ISBN: 9811391793 ISBN-13(EAN): 9789811391798 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Нет в наличии. Описание: In closing, it explores a range of applications, including: intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems.
Автор: Asian Development Bank Название: Internet Plus Agriculture: A New Engine for Rural Economic Growth in the People`s Republic of China ISBN: 9292613227 ISBN-13(EAN): 9789292613228 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 17550.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This publication reviews the practices and policies of Internet Plus agriculture business models in the People’s Republic of China (PRC). It analyzes the agriculture value chain model, rural e-commerce platform, and Internet Plus agriculture service model. The Internet Plus rural economy is an emerging driver of comprehensive development in the PRC as a new production management and marketing tool for farmers and farmers’ cooperatives. Its potential is seen as a foundation for vitalizing the countryside and key to achieving agricultural modernization.
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