Editors:
- Presents a suite of computational modeling and monitoring tools, to facilitate the engineering of a specific agro-, or semi-natural, ecology into a sustainable system and the provision of ecosystem services
- Exhibits original research contributions, case studies, applications, and best practices in “ecological engineering” driven by IoT and Cloud technologies, Machine Learning, simulation, and modeling for leveraging next-generation agro-ecosystems
- Highlights recent research on IoT-based Intelligent Modeling for Environmental and Ecological Engineering
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 67)
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Table of contents (13 chapters)
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Front Matter
About this book
This book brings to readers thirteen chapters with contributions to the benefits of using IoT and Cloud Computing to agro-ecosystems from a multi-disciplinary perspective. IoT and Cloud systems have prompted the development of a Cloud digital ecosystem referred to as Cloud-to-thing continuum computing. The key success of IoT computing and the Cloud digital ecosystem is that IoT can be integrated seamlessly with the physical environment and therefore has the potential to leverage innovative services in agro-ecosystems. Areas such as ecological monitoring, agriculture, and biodiversity constitute a large area of potential application of IoT and Cloud technologies. In contrast to traditional agriculture systems that have employed aggressive policies to increase productivity, new agro-ecosystems aim to increase productivity but also achieve efficiency and competitiveness in modern sustainable agriculture and contribute, more broadly, to the green economy and sustainable food-chain industry.
Fundamental research as well as concrete applications from various real-life scenarios, such as smart farming, precision agriculture, green agriculture, sustainable livestock and sow farming, climate threat, and societal and environmental impacts, is presented. Research issues and challenges are also discussed towards envisioning efficient and scalable solutions to agro-ecosystems based on IoT and Cloud technologies. Our fundamental belief is that we can collectively trigger a new revolution that will transition agriculture into an equable system that not only feeds the world, but also contributes to mitigating the climate change and biodiversity crises that our historical actions have triggered.
Keywords
Editors and Affiliations
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Department of Computer Science, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, UK
Paul Krause
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Department of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain
Fatos Xhafa
Bibliographic Information
Book Title: IoT-based Intelligent Modelling for Environmental and Ecological Engineering
Book Subtitle: IoT Next Generation EcoAgro Systems
Editors: Paul Krause, Fatos Xhafa
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-030-71172-6
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-71171-9Published: 01 June 2021
eBook ISBN: 978-3-030-71172-6Published: 31 May 2021
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XV, 308
Number of Illustrations: 14 b/w illustrations, 139 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Environmental Science and Engineering, Computational Intelligence