Artificial Intelligence Of Things Aiot In Precision Agriculture

Download or read book Artificial Intelligence-of-Things (AIoT) in Precision Agriculture written by Yaqoob Majeed and published by Frontiers Media SA. This book was released on 2024-02-12 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The merging of Artificial Intelligence (AI) and Internet-of-Things is known as Artificial Intelligence-of-Things (AIoT). IoT consists of interlinked computing devices and machines which can acquire, transfer, and execute field/industrial operations without human involvement, while AI processes the acquired data and helps extract the required information. The technologies work in synergy: AI enriches IoT through machine learning and deep learning-based data analysis and learning capabilities, whereas IoT enriches AI through data acquisition, connectivity, and data exchange. Precision agriculture is becoming critically important for sustainable food production to meet the growing food demand. In recent decades, AI and IoT techniques have played an increasing role within industrial operations (e.g. autonomous manufacturing, automated supply chain management, predictive maintenance, smart energy grids, smart home appliances, and wearables), however, agricultural field operations are still heavily dependent on human labor. This is because these operations are ill-defined, unstructured, and susceptible to variation in natural conditions (e.g. illumination, landscape, atmosphere) plus the biological nature of crops (fruits, stems, leaves, and/or shoots continuously change their shape and/or color as they grow).

Download or read book Artificial Intelligence of Things for Achieving Sustainable Development Goals written by Sanjay Misra and published by Springer Nature. This book was released on with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Artificial Intelligence of Things (AIoT) written by Kashif Naseer Qureshi and published by CRC Press. This book was released on 2024-04-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.

Download or read book Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy written by Alex Khang and published by CRC Press. This book was released on 2024-02-27 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of internet of things (IoT) technologies and artificial intelligence (AI)-enabled IoT solutions has gradually become accepted by business and production organizations as an effective tool for automating several activities effectively and efficiently and developing and distributing products to the global market. Within this book, the reader will learn how to implement IoT devices, IoT-equipped machines, and AI-equipped IoT applications using models and methodologies along with an array of case studies. Advanced IoT Technologies and Applications in the Industry 4.0 Digital Economy covers the basics of IoT-equipped machines in developing and managing various activities in many industries. It discusses all of the key points of an AI-enabled IoT solution, which includes predictive analytics, robotic process automation, predictive maintenance, automated processes, IoT technologies and IoT-equipped sensors related to machines and processes, production testing systems, and product assessment processes in the production environment. The book presents the concepts and interactive methods using datasets, processing workflow charts, and architectural diagrams along with additional real-time systems for easy and fast understanding of the application of IoT-equipped machines and AI-enabled solutions in organizations and includes many case studies throughout the book to enforce reader comprehension. This book is an ideal read for industry specialists, practitioners, researchers, scientists, and engineers working or involved in the fields of Robotics, IT, Computer Science, Soft Computing, IoT, AL/ML/DL, Data Science, the Semantic Web, Knowledge Engineering, and other related fields.

Download or read book Artificial Intelligence and Internet of Things for Smart Agriculture written by Shanwen Zhang and published by Frontiers Media SA. This book was released on 2024-10-22 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart agriculture combines modern science and technology with agricultural cultivation, to achieve unmanned, automatic, intelligent management of agricultural production, such as intelligent irrigation, intelligent fertilization, and intelligent spraying. It is the application of artificial intelligence (AI) and Internet of Things (IoTs) in the field of modern agriculture. Agricultural AI (AAI) is the application of various information technologies and their cross-application in the field of agriculture, including intelligent equipment, IoTs, agricultural unmanned aerial vehicle, intelligent perception, deep learning, digital twin network, expert systems, agricultural cognitive computing, etc. With the rapid development of smart agriculture, agricultural applications combined with deep learning are quite common, such as crop disease-pest detection, growth environment monitoring, automatic crop picking, unmanned farm management, etc. Edge computing can provide efficient and reliable new data processing solutions for multi-scenario and complex tasks in agriculture. At present, cloud computing, deep learning and digital twinning have been widely used in agricultural fields, such as plant identification and detection, pest diagnosis and recognition, remote sensing regional classification and monitoring, fruit carrier detection and agricultural product classification, animal identification and posture detection, etc.

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.

Download or read book Convergence of Artificial Intelligence and Internet of Things for Industrial Automation written by Divya Mishra and published by CRC Press. This book was released on 2024-10-07 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book begins by discussing the fundamentals of Artificial Intelligence, the Internet of Things, and their convergence. It then covers techniques, algorithms, and methods of analysing and processing data over the Artificial Intelligence of Things. The text elaborates on important concepts such as body sensor networks for safety in smart factories, smart energy management, smart robotic assistive systems, and service-oriented smart manufacturing. This book: • Discusses the security and privacy aspect of Artificial Intelligence of Things (AIoT) for smart real-time applications. • Explores challenges and issues of Artificial Intelligence and the Internet of Things in the field of industrial automation. • Includes case studies in Artificial Intelligence of Things (AIoT) convergence for data processing. • Showcases algorithms, techniques, and methods of analysing and processing data over the Artificial Intelligence of Things. • Highlights operation management using human-robot, smart maintenance, and autonomous production. It will serve as an ideal reference text for senior undergraduate, graduate students, and professionals in fields including industrial engineering, production engineering, manufacturing engineering, operations research, and computer engineering.