Advancing Smarter And More Secure Industrial Applications Using Ai Iot And Blockchain Technology
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Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology
There is no doubt that there has been much excitement regarding the pioneering contributions of artificial intelligence (AI), the internet of things (IoT), and blockchain technologies and tools in visualizing and realizing smarter as well as sophisticated systems and services. However, researchers are being bombarded with various machine and deep learning algorithms, which are categorized as a part and parcel of the enigmatic AI discipline. The knowledge discovered gets disseminated to actuators and other concerned systems in order to empower them to intelligently plan and insightfully execute appropriate tasks with clarity and confidence. The IoT processes in conjunction with the AI algorithms and blockchain technology are bound to lay out a stimulating foundation for producing and sustaining smarter systems for society. Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology articulates and accentuates various AI algorithms, fresh innovations in the IoT, and blockchain spaces. The domain of transforming raw data to information and to relevant knowledge is gaining prominence with the availability of data ingestion, processing, mining, analytics algorithms, platforms, frameworks, and other accelerators. Covering topics such as blockchain applications, Industry 4.0, and cryptography, this book serves as a comprehensive guide for AI researchers, faculty members, IT professionals, academicians, students, researchers, and industry professionals.
Blockchain and Digital Twin Applications in Smart Agriculture
Blockchain and Digital Twin Applications in Smart Agriculture presents scenarios, solutions, applications to optimize crop management, improve resource allocation, and enhance sustainability in modern farming practices. It examines how blockchain and digital twin technology could enable farmers and stakeholders to create virtual, data-driven replicas of their agricultural operations while leveraging the security and transparency of blockchain technology. Highlights of the book include: An immutable blockchain ledger for storing and sharing agricultural data securely Decentralized data management to share data among such stakeholders as farmers, suppliers, distributors, and consumers Supply chain transparency to ensure product authenticity, reduce food fraud, and protect consumers Solutions to improve the allocation of such resources as water, fertilizer, and labor to reduce costs and improve productivity. The book helps researchers and academics develop solutions that can transition the agricultural industry into a more data-driven, sustainable, and transparent future. It explains how creating digital twins of agricultural operations and securing data through blockchain can enhance the ability to make informed decisions, reduce waste, and ensure that agriculture practices are more efficient and environmentally responsible. Featuring practical applications and case studies, the book provides a roadmap to farming that is smart, data-driven, and more.
Advanced Manufacturing Processes
The increasing demand for advanced manufacturing processes is making an impact on the Earth’s resources, and its industrial practices are producing negative impacts on the environment, such as carbon footprints, energy resources, waste, etc. The trend of advanced manufacturing coincides with the acceleration of innovations in sustainable techniques. Advanced Manufacturing Processes: Integration of Sustainable Approaches focuses on sustainability materials, the 6 Rs (reuse, recycle, redesign, remanufacture, reduce, and recover), lifecycle engineering, and life cycle assessment. It discusses sustainability in manufacturing and the impact on plant performance while keeping in mind IR 4.0, and highlights issues related to materials recovery and a circular economy. The book also presents the use of new sustainable materials in processes and their impact on the environment and plant performance. Case studies are offered to enable the reader to get a comparison of the manufacturing processes based on individual sustainability. All aspects related to the implementation and adoption of sustainable advanced manufacturing approaches are encapsulated in this book along with their applications which makes this a useful book for industry, academic teaching, research scholars, and experts dealing with sustainability-related issues.