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Digital Transformation With AI and Smart Servicing Technologies for Sustainable Rural Development

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Digital Transformation With AI and Smart Servicing Technologies for Sustainable Rural Development Synopsis

This book introduces and demonstrates the state-of-the art research and development in tackling sustainable urban and rural integration, supported by digitalization and digital transformation in rural areas with Industry 4.0/5.0 technologies. Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development is centered around how to deal with the sustainable urban and rural integration with advanced digital technologies such as artificial intelligence (AI), Big Data, Crowdsourcing, Crowdsensing and digital twin applications.

Digital Transformation with AI and Smart Servicing Technologies for Sustainable Rural Development comes from the authors international collaborative projects funded by British Council and National Sciences Foundation of China and our Newton Prize Winning project founded by UK Department for Business, Energy & Industrial Strategy. It covers digital platform design with integrated crowdsourcing, crowdsensing and digital twin technologies for smart community services and governing. The authors discuss smart textile design for health and social care and VR/AR based tele-healthcare services for plants, livestock, and people. It also presents smart building technologies and integrated services for remote rural areas.

This book will be a valuable reference for multidisciplinary researchers, policy makers, urban and rural development engineers, and university students to support their research and work in AI and smart technology applications.

About This Edition

ISBN: 9781032686677
Publication date: 27th June 2024
Author: Shengfeng Qin, Hongan Wang, Cuixia Ma
Publisher: CRC Press
Format: Hardback
Pagination: 368 pages
Genres: Information technology: general topics
Automatic control engineering
Development studies
Electrical engineering
Algorithms and data structures
Artificial intelligence
Databases
Environmental science, engineering and technology