AI Edge and IoT based Smart Agriculture

AI  Edge and IoT based Smart Agriculture
Author: Ajith Abraham,Sujata Dash,Joel J.P.C. Rodrigues,Biswaranjan Acharya,Subhendu K. Pani
Publsiher: Academic Press
Total Pages: 570
Release: 2021-06-15
ISBN 10: 9780128236949
ISBN 13: 0128236949
Language: EN, FR, DE, ES & NL

AI Edge and IoT based Smart Agriculture Book Review:

AI, Edge and IoT Smart Agriculture integrates applications of IoT and edge computing and data analytics for sustainable agricultural development. It introduces Edge of Thing-based data analytics along with IoT for predictability of crop, soil and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management along with smart farming. It provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture as well as data mining researchers from around the world provide foundational insights. Including contributions from the Data mining, data analytics, Edge of Things and cloud research communities working in the farming production sector the book provides practical application opportunities for the resolution of real-world problems. AI, Edge and IoT Smart Agriculture provides the reader with a broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT based agriculture, Edge of Things and cloud based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture towards smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring and farm management Presents data mining techniques for precision agriculture including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability

Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture

Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture
Author: Tomar, Pradeep,Kaur, Gurjit
Publsiher: IGI Global
Total Pages: 400
Release: 2021-01-08
ISBN 10: 1799817245
ISBN 13: 9781799817246
Language: EN, FR, DE, ES & NL

Artificial Intelligence and IoT Based Technologies for Sustainable Farming and Smart Agriculture Book Review:

As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of “smart” farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

AI Based Services for Smart Cities and Urban Infrastructure

AI Based Services for Smart Cities and Urban Infrastructure
Author: Lyu, Kangjuan,Hu, Min,Du, Juan,Sugumaran, Vijayan
Publsiher: IGI Global
Total Pages: 353
Release: 2020-09-04
ISBN 10: 1799850250
ISBN 13: 9781799850250
Language: EN, FR, DE, ES & NL

AI Based Services for Smart Cities and Urban Infrastructure Book Review:

Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Advances in Artificial Intelligence Software and Systems Engineering

Advances in Artificial Intelligence  Software and Systems Engineering
Author: Tareq Ahram
Publsiher: Springer Nature
Total Pages: 329
Release: 2021
ISBN 10: 3030513289
ISBN 13: 9783030513283
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Software and Systems Engineering Book Review:

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
Author: Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publsiher: Academic Press
Total Pages: 428
Release: 2020-11-18
ISBN 10: 012819698X
ISBN 13: 9780128196984
Language: EN, FR, DE, ES & NL

Artificial Intelligence to Solve Pervasive Internet of Things Issues Book Review:

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Internet of Things and Machine Learning in Agriculture

Internet of Things and Machine Learning in Agriculture
Author: Jyotir Moy Chatterjee,Abhishek Kumar,Pramod Singh Rathore,Vishal Jain
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 424
Release: 2021-02-08
ISBN 10: 3110691272
ISBN 13: 9783110691276
Language: EN, FR, DE, ES & NL

Internet of Things and Machine Learning in Agriculture Book Review:

Agriculture is one of the most fundamental human activities. As the farming capacity has expanded, the usage of resources such as land, fertilizer, and water has grown exponentially, and environmental pressures from modern farming techniques have stressed natural landscapes. Still, by some estimates, worldwide food production needs to increase to keep up with global food demand. Machine Learning and the Internet of Things can play a promising role in the Agricultural industry, and help to increase food production while respecting the environment. This book explains how these technologies can be applied, offering many case studies developed in the research world.

Agricultural Internet of Things and Decision Support for Precision Smart Farming

Agricultural Internet of Things and Decision Support for Precision Smart Farming
Author: Annamaria Castrignano,Gabriele Buttafuoco,Raj Khosla,Abdul Mouazen,Dimitrios Moshou,Olivier Naud
Publsiher: Academic Press
Total Pages: 470
Release: 2020-01-09
ISBN 10: 0128183748
ISBN 13: 9780128183748
Language: EN, FR, DE, ES & NL

Agricultural Internet of Things and Decision Support for Precision Smart Farming Book Review:

Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. Presents the science behind smart technologies for agricultural management Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable

Hands On Artificial Intelligence for IoT

Hands On Artificial Intelligence for IoT
Author: Amita Kapoor
Publsiher: Packt Publishing Ltd
Total Pages: 390
Release: 2019-01-31
ISBN 10: 1788832760
ISBN 13: 9781788832762
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for IoT Book Review:

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key Features Leverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT data Process IoT data and predict outcomes in real time to build smart IoT models Cover practical case studies on industrial IoT, smart cities, and home automation Book Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learn Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras Access and process data from various distributed sources Perform supervised and unsupervised machine learning for IoT data Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms Forecast time-series data using deep learning methods Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities Gain unique insights from data obtained from wearable devices and smart devices Who this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Internet of Things in Biomedical Engineering

Internet of Things in Biomedical Engineering
Author: Valentina E. Balas,Le Hoang Son,Sudan Jha,Manju Khari,Raghvendra Kumar
Publsiher: Academic Press
Total Pages: 379
Release: 2019-06-14
ISBN 10: 0128173572
ISBN 13: 9780128173572
Language: EN, FR, DE, ES & NL

Internet of Things in Biomedical Engineering Book Review:

Internet of Things in Biomedical Engineering presents the most current research in Internet of Things (IoT) applications for clinical patient monitoring and treatment. The book takes a systems-level approach for both human-factors and the technical aspects of networking, databases and privacy. Sections delve into the latest advances and cutting-edge technologies, starting with an overview of the Internet of Things and biomedical engineering, as well as a focus on ‘daily life.’ Contributors from various experts then discuss ‘computer assisted anthropology,’ CLOUDFALL, and image guided surgery, as well as bio-informatics and data mining. This comprehensive coverage of the industry and technology is a perfect resource for students and researchers interested in the topic. Presents recent advances in IoT for biomedical engineering, covering biometrics, bioinformatics, artificial intelligence, computer vision and various network applications Discusses big data and data mining in healthcare and other IoT based biomedical data analysis Includes discussions on a variety of IoT applications and medical information systems Includes case studies and applications, as well as examples on how to automate data analysis with Perl R in IoT

Proceedings of ICRIC 2019

Proceedings of ICRIC 2019
Author: Pradeep Kumar Singh,Arpan Kumar Kar,Yashwant Singh,Maheshkumar H. Kolekar,Sudeep Tanwar
Publsiher: Springer Nature
Total Pages: 920
Release: 2019-11-21
ISBN 10: 3030294072
ISBN 13: 9783030294076
Language: EN, FR, DE, ES & NL

Proceedings of ICRIC 2019 Book Review:

This book presents high-quality, original contributions (both theoretical and experimental) on software engineering, cloud computing, computer networks & internet technologies, artificial intelligence, information security, and database and distributed computing. It gathers papers presented at ICRIC 2019, the 2nd International Conference on Recent Innovations in Computing, which was held in Jammu, India, in March 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, cloud-based e-Learning and big data, security and privacy, image processing and computer vision, and next-generation computing technologies.

Edge Computing and Computational Intelligence Paradigms for the IoT

Edge Computing and Computational Intelligence Paradigms for the IoT
Author: Nagarajan, G.,Minu, R.I.
Publsiher: IGI Global
Total Pages: 347
Release: 2019-06-14
ISBN 10: 1522585575
ISBN 13: 9781522585572
Language: EN, FR, DE, ES & NL

Edge Computing and Computational Intelligence Paradigms for the IoT Book Review:

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Internet of Things for Smart Cities

Internet of Things for Smart Cities
Author: Waleed Ejaz,Alagan Anpalagan
Publsiher: Springer
Total Pages: 66
Release: 2018-10-12
ISBN 10: 3319950371
ISBN 13: 9783319950372
Language: EN, FR, DE, ES & NL

Internet of Things for Smart Cities Book Review:

This book introduces the concept of smart city as the potential solution to the challenges created by urbanization. The Internet of Things (IoT) offers novel features with minimum human intervention in smart cities. This book describes different components of Internet of Things (IoT) for smart cities including sensor technologies, communication technologies, big data analytics and security.

IoT AI and Blockchain for NET

IoT  AI  and Blockchain for  NET
Author: Nishith Pathak,Anurag Bhandari
Publsiher: Apress
Total Pages: 308
Release: 2018-08-14
ISBN 10: 1484237099
ISBN 13: 9781484237090
Language: EN, FR, DE, ES & NL

IoT AI and Blockchain for NET Book Review:

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application

Integration of WSN and IoT for Smart Cities

Integration of WSN and IoT for Smart Cities
Author: Shalli Rani,R. Maheswar,G. R. Kanagachidambaresan,P. Jayarajan
Publsiher: Springer Nature
Total Pages: 199
Release: 2020-03-18
ISBN 10: 3030385167
ISBN 13: 9783030385163
Language: EN, FR, DE, ES & NL

Integration of WSN and IoT for Smart Cities Book Review:

This book exploits the benefits of integration of wireless sensor networks (WSN) and Internet of Things (IoT) for smart cities. The authors discuss WSN and IoT in tackling complex computing tasks and challenges in the fields of disaster relief, security, and weather forecasting (among many others). This book highlights the challenges in the field of quality of service metrics (QoS) in the WSN based IoT applications. Topics include IoT Applications for eHealth, smart environments, intelligent transportation systems, delay tolerant models for IoT applications, protocols and architectures for industrial IoT, energy efficient protocols, and much more. Readers will get to know the solutions of these problems for development of smart city applications with the integration of WSN with IoT.

Emerging Technologies for Agriculture and Environment

Emerging Technologies for Agriculture and Environment
Author: Babu Subramanian,Shiao-Shing Chen,Krishna R. Reddy
Publsiher: Springer
Total Pages: 272
Release: 2019-06-20
ISBN 10: 9811379688
ISBN 13: 9789811379680
Language: EN, FR, DE, ES & NL

Emerging Technologies for Agriculture and Environment Book Review:

This book comprises select proceedings of the International Conference on Emerging Technologies for Farming – Energy & Environment – Water (ITsFEW 2018). The contents are divided into three parts viz., (i) Developments in Farming, (ii) Energy and Environment, and (iii) Water Conservation and Management. The book aims to provide timely solutions, using innovative and emerging technologies, to the global challenges in agriculture, energy, environment, and water management. Some of the topics covered in this book include remote sensing for smart farming, GIS, irrigation engineering, soil science and agronomy, smart grids, renewable energy, energy management systems, energy storage technologies, biological water treatment, industrial waste water treatment, watershed management and sustainability. Given the wide range of topics discussed, the book will be very useful for students, researchers and practitioners interested in agricultural and environmental engineering.

Smartphones from an Applied Research Perspective

Smartphones from an Applied Research Perspective
Author: Nawaz Mohamudally
Publsiher: BoD – Books on Demand
Total Pages: 222
Release: 2017-11-02
ISBN 10: 9535135899
ISBN 13: 9789535135890
Language: EN, FR, DE, ES & NL

Smartphones from an Applied Research Perspective Book Review:

Smartphones from an Applied Research Perspective highlights latest advancements of research undertaken in multidisciplinary fields where the smartphone plays a central role. Smartphone is synonymous to innovation in today's society. Very few visionaries predicted its social, cultural, technological and economic impacts, although the usage of smartphone is almost pervasive and transcendental. This book is meant for researchers and postgraduate students looking forward for hot topics for their final year projects, doctoral or even postdoctoral studies. Practitioners too will find food for thought and will surely be amazed by the broadness of the topics presented.

Proceedings of ICETIT 2019

Proceedings of ICETIT 2019
Author: Pradeep Kumar Singh,Bijaya Ketan Panigrahi,Nagender Kumar Suryadevara,Sudhir Kumar Sharma,Amit Prakash Singh
Publsiher: Springer Nature
Total Pages: 1144
Release: 2019-09-23
ISBN 10: 3030305775
ISBN 13: 9783030305772
Language: EN, FR, DE, ES & NL

Proceedings of ICETIT 2019 Book Review:

This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.

IoT Automation

IoT Automation
Author: Jerker Delsing
Publsiher: CRC Press
Total Pages: 366
Release: 2017-02-17
ISBN 10: 149875676X
ISBN 13: 9781498756761
Language: EN, FR, DE, ES & NL

IoT Automation Book Review:

This book presents an in-depth description of the Arrowhead Framework and how it fosters interoperability between IoT devices at service level, specifically addressing application. The Arrowhead Framework utilizes SOA technology and the concepts of local clouds to provide required automation capabilities such as: real time control, security, scalability, and engineering simplicity. Arrowhead Framework supports the realization of collaborative automation; it is the only IoT Framework that addresses global interoperability across multiplet SOA technologies. With these features, the Arrowhead Framework enables the design, engineering, and operation of large automation systems for a wide range of applications utilizing IoT and CPS technologies. The book provides application examples from a wide number of industrial fields e.g. airline maintenance, mining maintenance, smart production, electro-mobility, automative test, smart cities—all in response to EU societal challenges. Features Covers the design and implementation of IoT based automation systems. Industrial usage of Internet of Things and Cyber Physical Systems made feasible through Arrowhead Framework. Functions as a design cookbook for building automation systems using IoT/CPS and Arrowhead Framework. Tools, templates, code etc. described in the book will be accessible through open sources project Arrowhead Framework Wiki at forge.soa4d.org/ Written by the leading experts in the European Union and around the globe.

Next Generation Internet of Things

Next Generation Internet of Things
Author: Vermesan, Ovidiu,Bacquet, Joël
Publsiher: River Publishers
Total Pages: 352
Release: 2019-01-15
ISBN 10: 8770220085
ISBN 13: 9788770220088
Language: EN, FR, DE, ES & NL

Next Generation Internet of Things Book Review:

This book provides an overview of the next generation Internet of Things (IoT), ranging from research, innovation, development priorities, to enabling technologies in a global context. It is intended as a standalone in a series covering the activities of the Internet of Things European Research Cluster (IERC), including research, technological innovation, validation, and deployment. The text builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI), the IoT European Large-Scale Pilots Programme and the IoT European Security and Privacy Projects, presenting global views and state-of-the-art results regarding the next generation of IoT research, innovation, development, and deployment. The IoT and Industrial Internet of Things (IIoT) are evolving towards the next generation of Tactile IoT/IIoT, bringing together hyperconnectivity (5G and beyond), edge computing, Distributed Ledger Technologies (DLTs), virtual and augmented reality (VR/AR), and AI transformation. Following the wider adoption of consumer IoT, the next generation of IoT/IIoT innovation for business is driven by industries, addressing interoperability issues and providing new end-to-end security solutions to face continuous treats. The advances of AI technology in vision, speech recognition, natural language processing and dialog are enabling the development of end-to-end intelligent systems encapsulating multiple technologies, delivering services in real-time using limited resources. These developments are focusing on designing and delivering embedded and hierarchical AI solutions in IoT/IIoT, edge computing, using distributed architectures, DLTs platforms and distributed end-to-end security, which provide real-time decisions using less data and computational resources, while accessing each type of resource in a way that enhances the accuracy and performance of models in the various IoT/IIoT applications. The convergence and combination of IoT, AI and other related technologies to derive insights, decisions and revenue from sensor data provide new business models and sources of monetization. Meanwhile, scalable, IoT-enabled applications have become part of larger business objectives, enabling digital transformation with a focus on new services and applications. Serving the next generation of Tactile IoT/IIoT real-time use cases over 5G and Network Slicing technology is essential for consumer and industrial applications and support reducing operational costs, increasing efficiency and leveraging additional capabilities for real-time autonomous systems. New IoT distributed architectures, combined with system-level architectures for edge/fog computing, are evolving IoT platforms, including AI and DLTs, with embedded intelligence into the hyperconnectivity infrastructure. The next generation of IoT/IIoT technologies are highly transformational, enabling innovation at scale, and autonomous decision-making in various application domains such as healthcare, smart homes, smart buildings, smart cities, energy, agriculture, transportation and autonomous vehicles, the military, logistics and supply chain, retail and wholesale, manufacturing, mining and oil and gas.

Role of Edge Analytics in Sustainable Smart City Development

Role of Edge Analytics in Sustainable Smart City Development
Author: G. R. Kanagachidambaresan
Publsiher: John Wiley & Sons
Total Pages: 352
Release: 2020-07-15
ISBN 10: 1119681332
ISBN 13: 9781119681335
Language: EN, FR, DE, ES & NL

Role of Edge Analytics in Sustainable Smart City Development Book Review:

Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.