Ai Ml Ds And Iot Advancements And Emerging Trends

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AI, ML, DS AND IOT-ADVANCEMENTS AND EMERGING TRENDS

Author : Dr. Thomas Abraham
Publisher : Academic Guru Publishing House
ISBN 13 : 8197304815
Total Pages : 246 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis AI, ML, DS AND IOT-ADVANCEMENTS AND EMERGING TRENDS by : Dr. Thomas Abraham

Download or read book AI, ML, DS AND IOT-ADVANCEMENTS AND EMERGING TRENDS written by Dr. Thomas Abraham and published by Academic Guru Publishing House. This book was released on 2024-05-13 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Advancements and Emerging Trends in AI, ML, DS, and IoT" provides an exhaustive examination of the state-of-the- art progressions that are influencing the domains of IoT, Data Science, Artificial Intelligence (AI), and Machine Learning (ML). Designed for a wide readership including professionals, researchers, students, and enthusiasts, this book provides a systematic guide to comprehending the profound possibilities that these interrelated fields hold. The text provides an in-depth exploration of the most recent developments in the field, encompassing fundamental concepts as well as sophisticated implementations. Such developments include federated learning, edge computing, and deep learning. Insightful case studies and expert contributions shed light on the practical implications of this concept in various sectors, including finance, healthcare, and smart cities. An exhaustive examination is conducted on ethical considerations pertaining to bias, privacy, and accountability, thereby guaranteeing a comprehensive outlook on the societal ramifications of these technologies. Furthermore, the book provides a view into the future by examining forthcoming disruptive innovations, opportunities, and challenges. An invaluable resource, "Advancements and Emerging Trends in AI, ML, DS, and IoT" offers a well-balanced combination of theoretical insights and practical wisdom. It effectively guides readers through the ever-changing realm of technological innovation and motivates them to delve deeper into the subject matter.

Emerging Trends in AI, ML, DS and IoT

Author : Dr. S. Bharathiraja
Publisher : Academic Guru Publishing House
ISBN 13 : 8197304807
Total Pages : 226 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis Emerging Trends in AI, ML, DS and IoT by : Dr. S. Bharathiraja

Download or read book Emerging Trends in AI, ML, DS and IoT written by Dr. S. Bharathiraja and published by Academic Guru Publishing House. This book was released on 2024-05-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Emerging Trends in AI, ML, DS, and IoT" is an all-encompassing examination of the most recent developments and revolutionary possibilities in Artificial Intelligence (AI), Data Science (DS), Machine Learning (ML), as well as the Internet of Things (IoT). This book functions as a comprehensive resource, encompassing the profound ramifications of technology's swift evolution across diverse industries, and was authored by a group of business professionals and thought leaders. The book commences with an in-depth explanation of the fundamental principles, methodologies, and practical implementations of each of these disciplines, thereby establishing a solid foundation for learning. The fundamental principles of artificial intelligence (AI) are expounded upon, encompassing neural networks, natural language processing, machine learning algorithms, and the significance of data in instigating insights and facilitating decision-making. The story progresses, as the emphasis moves to new innovations and trends that are changing the face of AI, ML, DS, and the Internet of Things. The book extensively explores the most recent developments that are driving the progress of these fields, including peripheral computing, predictive analytics, deep learning, as well as reinforcement learning. Organisations in many kinds of sectors are using these technologies to boost creativity, enhance operations, and generate value, as shown in case studies and real-world examples. Additionally, by examining the intersections between these domains and showcasing prospects for multidisciplinary cooperation, "Emerging Trends in AI, ML, DS, and IoT" analyses their intersections. Intelligent systems capable of sensing, learning, and adapting in real-time are being made possible by the merging of AI, ML, DS, and IoT. This is causing a paradigm shift in sectors including financial services, healthcare, transportation, as well as manufacturing. The book also discusses privacy concerns, ethical issues, and the societal ramifications of AI, ML, DS, and IoT, in along with technological advancements. The text promotes the ethical and responsible implementation of these technologies, appealing for accountability, transparency, and impartiality in algorithmic decision-making. "Emerging Trends in AI, ML, DS, and IoT" is an essential reference for experts, researchers, and students who are interested in tackling the dynamic technological environment and utilising its transformative capabilities to improve society. It offers perceptive analysis, forward-thinking viewpoints, and practical insights to support these objectives.

Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi
Publisher : IGI Global
ISBN 13 : 1799831132
Total Pages : 350 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing by : Velayutham, Sathiyamoorthi

Download or read book Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing written by Velayutham, Sathiyamoorthi and published by IGI Global. This book was released on 2021-01-29 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Artificial Intelligence in Construction Engineering and Management

Author : Limao Zhang
Publisher : Springer Nature
ISBN 13 : 9811628424
Total Pages : 271 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence in Construction Engineering and Management by : Limao Zhang

Download or read book Artificial Intelligence in Construction Engineering and Management written by Limao Zhang and published by Springer Nature. This book was released on 2021-06-18 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.

Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 9811572348
Total Pages : 998 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications by : Vinit Kumar Gunjan

Download or read book Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2020-10-17 with total page 998 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29–30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India. Discussing current trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area of artificial intelligence and cyber-physical systems, this book is a valuable resource for scientists, research scholars and PG students wanting formulate their research ideas and find the future directions in these areas. Further, it serves as a reference work anyone wishing to understand the latest technologies used by practicing engineers around the globe.

WIPO Technology Trends 2019 - Artificial Intelligence

Author : World Intellectual Property Organization
Publisher : WIPO
ISBN 13 : 9280530070
Total Pages : 156 pages
Book Rating : 4.2/5 (85 download)

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Book Synopsis WIPO Technology Trends 2019 - Artificial Intelligence by : World Intellectual Property Organization

Download or read book WIPO Technology Trends 2019 - Artificial Intelligence written by World Intellectual Property Organization and published by WIPO. This book was released on 2019-01-21 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first report in a new flagship series, WIPO Technology Trends, aims to shed light on the trends in innovation in artificial intelligence since the field first developed in the 1950s.

Handbook of Data Science Approaches for Biomedical Engineering

Author : Valentina Emilia Balas
Publisher : Academic Press
ISBN 13 : 0128183195
Total Pages : 320 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Data Science Approaches for Biomedical Engineering by : Valentina Emilia Balas

Download or read book Handbook of Data Science Approaches for Biomedical Engineering written by Valentina Emilia Balas and published by Academic Press. This book was released on 2019-11-13 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. - Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things - Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things - Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more

Industrial IoT Technologies and Applications

Author : Jiafu Wan
Publisher : Springer
ISBN 13 : 331944350X
Total Pages : 276 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Industrial IoT Technologies and Applications by : Jiafu Wan

Download or read book Industrial IoT Technologies and Applications written by Jiafu Wan and published by Springer. This book was released on 2016-08-17 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Industrial IoT Technologies and Applications, IoT 2016, held in GuangZhou, China, in March 2016. The volume contains 26 papers carefully reviewed and selected from 55 submissions focusing on topics such as big data, cloud computing, Internet of Things (IoT).

Semantic Web Technologies and Applications in Artificial Intelligence of Things

Author : Ortiz-Rodriguez, Fernando
Publisher : IGI Global
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Semantic Web Technologies and Applications in Artificial Intelligence of Things by : Ortiz-Rodriguez, Fernando

Download or read book Semantic Web Technologies and Applications in Artificial Intelligence of Things written by Ortiz-Rodriguez, Fernando and published by IGI Global. This book was released on 2024-05-16 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030326446
Total Pages : 618 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Recent Trends and Advances in Artificial Intelligence and Internet of Things by : Valentina E. Balas

Download or read book Recent Trends and Advances in Artificial Intelligence and Internet of Things written by Valentina E. Balas and published by Springer Nature. This book was released on 2019-11-19 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Precision Public Health

Author : Tarun Weeramanthri
Publisher : Frontiers Media SA
ISBN 13 : 2889455017
Total Pages : 149 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Precision Public Health by : Tarun Weeramanthri

Download or read book Precision Public Health written by Tarun Weeramanthri and published by Frontiers Media SA. This book was released on 2018-06-25 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.

Deep Learning with Azure

Author : Mathew Salvaris
Publisher : Apress
ISBN 13 : 1484236793
Total Pages : 298 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Deep Learning with Azure by : Mathew Salvaris

Download or read book Deep Learning with Azure written by Mathew Salvaris and published by Apress. This book was released on 2018-08-24 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.

Cognitive Hyperconnected Digital Transformation

Author : Ovidiu Vermesan
Publisher : River Publishers
ISBN 13 : 8793609116
Total Pages : 338 pages
Book Rating : 4.7/5 (936 download)

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Book Synopsis Cognitive Hyperconnected Digital Transformation by : Ovidiu Vermesan

Download or read book Cognitive Hyperconnected Digital Transformation written by Ovidiu Vermesan and published by River Publishers. This book was released on 2017-06-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info

The Tactile Internet

Author : Tara Ali-Yahiya
Publisher : John Wiley & Sons
ISBN 13 : 1789450209
Total Pages : 258 pages
Book Rating : 4.7/5 (894 download)

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Book Synopsis The Tactile Internet by : Tara Ali-Yahiya

Download or read book The Tactile Internet written by Tara Ali-Yahiya and published by John Wiley & Sons. This book was released on 2022-01-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Tactile Internet will change the landscape of communication by introducing a new paradigm that enables the remote delivery of haptic data. This book answers the many questions surrounding the Tactile Internet, including its reference architecture and adapted compression methods for conveying haptic information. It also describes the key enablers for deploying the applications of the Tactile Internet. As an antecedent technology, the IoT is tackled, explaining the differences and similarities between the Tactile Internet, the Internet of Things and the Internet of Everything. The essentials of teleoperation systems are summarized and the challenges that face this paradigm in its implementation and deployment are also discussed. Finally, a teleoperation case study demonstrating an application of the Tactile Internet is investigated to demonstrate its functionalities, architecture and performance.

AI Applications for Business, Medical, and Agricultural Sustainability

Author : Naim, Arshi
Publisher : IGI Global
ISBN 13 :
Total Pages : 339 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AI Applications for Business, Medical, and Agricultural Sustainability by : Naim, Arshi

Download or read book AI Applications for Business, Medical, and Agricultural Sustainability written by Naim, Arshi and published by IGI Global. This book was released on 2024-03-07 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations. AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable.

Introduction to Artificial Intelligence

Author : Simplilearn
Publisher : IndraStra Global
ISBN 13 :
Total Pages : 26 pages
Book Rating : 4.5/5 (778 download)

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Book Synopsis Introduction to Artificial Intelligence by : Simplilearn

Download or read book Introduction to Artificial Intelligence written by Simplilearn and published by IndraStra Global. This book was released on 2020-12-14 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: This AI beginner’s guide aims to take the readers through the current AI landscape, provides the key fundamentals and terminologies of AI, and offers practical guidelines on why and how you can be a part of the AI revolution, and also the ways in which you can scale up your AI career.

Agricultural Internet of Things

Author : Yong He
Publisher : Springer Nature
ISBN 13 : 3030657027
Total Pages : 443 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Agricultural Internet of Things by : Yong He

Download or read book Agricultural Internet of Things written by Yong He and published by Springer Nature. This book was released on 2021-08-02 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of things (IoT) is a new type of network that combines communication technology, expanded applications, and physical devices. Among them, agriculture is one of the most important areas in the application of the IoT technology, which has its unique requirements and integration features. Compared to the information technology in traditional agriculture, the agricultural IoT mainly refers to industrialized production and sustainable development under relatively controllable conditions. Agricultural IoT applies sensors, RFID, visual capture terminals and other types of sensing devices to detect and collect site information, and with broad applications in field planting, facility horticulture, livestock and poultry breeding, aquaculture and agricultural product logistics. It utilizes multiple information transmission channels such as wireless sensor networks, telecommunications networks and the internet to achieve reliable transmission of agricultural information at multiple scales and intelligently processes the acquired, massive information. The goals are to achieve (i) optimal control of agricultural production process, (ii) intelligent electronic trading of agricultural products circulation, and (iii) management of systematic logistics, quality and safety traceability. This book focuses on three levels of agricultural IoT network: information perception technology, information transmission technology and application technology.