Iot Machine Learning Applications In Telecom Energy And Agriculture
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Iot Machine Learning Applications In Telecom Energy And Agriculture
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Author : Puneet Mathur
language : en
Publisher: Apress
Release Date : 2020-05-09
Iot Machine Learning Applications In Telecom Energy And Agriculture written by Puneet Mathur and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-09 with Mathematics categories.
Apply machine learning using the Internet of Things (IoT) in the agriculture, telecom, and energy domains with case studies. This book begins by covering how to set up the software and hardware components including the various sensors to implement the case studies in Python. The case study section starts with an examination of call drop with IoT in the telecoms industry, followed by a case study on energy audit and predictive maintenance for an industrial machine, and finally covers techniques to predict cash crop failure in agribusiness. The last section covers pitfalls to avoid while implementing machine learning and IoT in these domains. After reading this book, you will know how IoT and machine learning are used in the example domains and have practical case studies to use and extend. You will be able to create enterprise-scale applications using Raspberry Pi 3 B+ and Arduino Mega 2560 with Python. What You Will Learn Implement machine learning with IoT and solve problems in the telecom, agriculture, and energy sectors with Python Set up and use industrial-grade IoT products, such as Modbus RS485 protocol devices, in practical scenarios Develop solutions for commercial-grade IoT or IIoT projects Implement case studies in machine learning with IoT from scratch Who This Book Is For Raspberry Pi and Arduino enthusiasts and data science and machine learning professionals.
Digital Agriculture
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Author : Muhammad Azhar Iqbal
language : en
Publisher: Springer Nature
Release Date : 2024-09-06
Digital Agriculture written by Muhammad Azhar Iqbal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-06 with Technology & Engineering categories.
The success of modern-day agriculture lies in the digitalization of agricultural systems. The primary aim of this book is to provide a starting point to understand the fundamentals and design of digital agriculture systems with reference to the enabling technologies that deal with the production, improvement, and protection of crops/plants and livestock. The other associated objectives of this book include the explanation of the design and deployment of IoT-based digital agriculture systems in such a simple way that agriculture students understand straightforwardly. Therefore, this book is an effort to partially fill the gap associated with the understanding of the development and deployment of digital agriculture systems (including both precision and smart farming). We believe that with the provided details of enabling technologies and their usage in digital agriculture systems, agriculture students will find it easier to comprehend the designing of small-/large-scale IoT-based digital agriculture systems. This book provides insight into different technologies, architectures, and case studies that will ultimately help students to understand the concept of Digital Agriculture and its related applications. It enables students to realize the importance of open issues and future challenges of digital agriculture systems.
Industrial Internet Of Things Iiot
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Author : R. Anandan
language : en
Publisher: John Wiley & Sons
Release Date : 2022-03-15
Industrial Internet Of Things Iiot written by R. Anandan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-15 with Computers categories.
INDUSTRIAL INTERNET OF THINGS (IIOT) This book discusses how the industrial internet will be augmented through increased network agility, integrated artificial intelligence (AI) and the capacity to deploy, automate, orchestrate, and secure diverse user cases at hyperscale. Since the internet of things (IoT) dominates all sectors of technology, from home to industry, automation through IoT devices is changing the processes of our daily lives. For example, more and more businesses are adopting and accepting industrial automation on a large scale, with the market for industrial robots expected to reach $73.5 billion in 2023. The primary reason for adopting IoT industrial automation in businesses is the benefits it provides, including enhanced efficiency, high accuracy, cost-effectiveness, quick process completion, low power consumption, fewer errors, and ease of control. The 15 chapters in the book showcase industrial automation through the IoT by including case studies in the areas of the IIoT, robotic and intelligent systems, and web-based applications which will be of interest to working professionals and those in education and research involved in a broad cross-section of technical disciplines. The volume will help industry leaders by Advancing hands-on experience working with industrial architecture Demonstrating the potential of cloud-based Industrial IoT platforms, analytics, and protocols Putting forward business models revitalizing the workforce with Industry 4.0. Audience Researchers and scholars in industrial engineering and manufacturing, artificial intelligence, cyber-physical systems, robotics, safety engineering, safety-critical systems, and application domain communities such as aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transports, smart cities, and smart healthcare.
Emerging Technologies In Data Mining And Information Security
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Author : Paramartha Dutta
language : en
Publisher: Springer Nature
Release Date : 2022-09-29
Emerging Technologies In Data Mining And Information Security written by Paramartha Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-29 with Technology & Engineering categories.
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2022) held at Institute of Engineering & Management, Kolkata, India, during February 23–25, 2022. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of Things (IoT), and information security.
Iot Applications Security Threats And Countermeasures
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Author : Padmalaya Nayak
language : en
Publisher: CRC Press
Release Date : 2021-09-02
Iot Applications Security Threats And Countermeasures written by Padmalaya Nayak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-02 with Computers categories.
The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications. It also covers recent (IoT) applications such as the Markovian Arrival Process, fog computing, real-time solar energy monitoring, healthcare, and agriculture. Fundamental concepts of gathering, processing, and analyzing different Artificial Intelligence (AI) models in IoT applications are covered along with recent detection mechanisms for different types of attacks for effective network communication. On par with the standards laid out by international organizations in related fields, the book focuses on both core concepts of IoT along with major application areas. Designed for technical developers, academicians, data scientists, industrial researchers, professionals, and students, this book is useful in uncovering the latest innovations in the field of IoT.
Semantic Web Technologies And Applications In Artificial Intelligence Of Things
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Author : Ortiz-Rodriguez, Fernando
language : en
Publisher: IGI Global
Release Date : 2024-05-16
Semantic Web Technologies And Applications In Artificial Intelligence Of Things written by Ortiz-Rodriguez, Fernando and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-16 with Computers categories.
The confluence of Artificial Intelligence of Things (AIoT) and Semantic Web technologies is nothing short of revolutionary. The profound impact of this synergy extends far beyond the realms of industry, research, and society; it shapes the very fabric of our future. Semantic Web Technologies and Applications in Artificial Intelligence of Things is a meticulously crafted reference that not only acknowledges this significance but also serves as a guide for those navigating the complexities of Industry 4.0 and AIoT. This curated compendium of cutting-edge technologies acts as a veritable knowledge base for future developments. As academics, scholars, and industry professionals, the ideal audience of this book, will find meticulously curated content that caters to their diverse interests and expertise, covering topics ranging from smart agriculture, manufacturing, industry, health sciences, and government. Seasoned academics, students, and visionary industry leaders, will find this book to be an indispensable guide that paves the way for innovation and progress.
Machine Learning Blockchain And Cyber Security In Smart Environments
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Author : Sarvesh Tanwar
language : en
Publisher: CRC Press
Release Date : 2022-08-31
Machine Learning Blockchain And Cyber Security In Smart Environments written by Sarvesh Tanwar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-31 with Computers categories.
Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.
Transforming Management With Ai Big Data And Iot
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2022-02-17
Transforming Management With Ai Big Data And Iot written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-17 with Technology & Engineering categories.
This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.
Precision Agriculture And Climate Resilient Farming Artificial Intelligence Iot And Blockchain For Sustainable Agriculture
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Author : Arshad H. Bhat
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-02
Precision Agriculture And Climate Resilient Farming Artificial Intelligence Iot And Blockchain For Sustainable Agriculture written by Arshad H. Bhat and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-02 with Technology & Engineering categories.
The creation of this book lies in a shared concern among researchers, scholars, and field practitioners with regard to how can Indian agriculture evolve in ways that are not only sustainable and productive but also equitable and climate-resilient? Precision Agriculture and Climate-Resilient Farming: Artificial Intelligence, IoT, and Blockchain for Sustainable Agriculture is an outcome of this collective inquiry, aimed at exploring integrative solutions that merge environmental consciousness with economic pragmatism. This book comprises fifteen chapters, each dip into a distinct yet interconnected theme. Chapter 1 introduces "Agri-Fusion 5.0," a futuristic approach to blending smart technologies with sustainability. Subsequent chapters explore green transitions in South Asia, the socio-economic fabric of rural livelihoods, consumer behavior, vertical farming, and the psychological and economic dimensions of organic agriculture. The volume also engages with international dynamics, notably the WTO’s influence on Indian agriculture, and proposes policy reforms and credit mechanisms for inclusive growth. A unique strength of this book lies in its interdisciplinary approach. It crosses traditional academic boundaries to address agriculture not merely as a sector of economic activity, but as a complex social-ecological system. The book has strived to balance empirical evidence with theoretical insights, and policy analysis with grounded case studies. This book would not have been possible without the dedication of the contributing authors, whose expertise has enriched this discourse. We also thank the peer reviewers and editorial team for their valuable input. I hope this book will inspire dialogue, inform decision-making, and ultimately contribute to the sustainable transformation of Indian agriculture.
Handbook Of Research On Emerging Trends And Applications Of Machine Learning
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Author : Solanki, Arun
language : en
Publisher: IGI Global
Release Date : 2019-12-13
Handbook Of Research On Emerging Trends And Applications Of Machine Learning written by Solanki, Arun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-13 with Computers categories.
As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.