IoT-based Intelligent Modelling for Environmental and Ecological Engineering: IoT Next Generation EcoAgro Systems: Lecture Notes on Data Engineering and Communications Technologies, cartea 67
Editat de Paul Krause, Fatos Xhafaen Limba Engleză Paperback – iun 2021
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.
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Specificații
ISBN-13: 9783030711719
ISBN-10: 3030711714
Ilustrații: XV, 308 p. 153 illus., 139 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes on Data Engineering and Communications Technologies
Locul publicării:Cham, Switzerland
ISBN-10: 3030711714
Ilustrații: XV, 308 p. 153 illus., 139 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes on Data Engineering and Communications Technologies
Locul publicării:Cham, Switzerland
Cuprins
IoT-based Computational Modeling for Next Generation Agro-ecosystems: Research Issues, Emerging Trends and Challenges.- An IoT-Based Time Constrained Spectrum Trading in Wireless Communication for Tertiary Market.- 5G NB-IoT Enabled Smart Green Agriculture 4.0: A Survey.- Drones for Intelligent Agricultural Management.- Multi-Modal Sensor Nodes in Experimental Scalable Agricultural IoT Application Scenarios.- Design Architecture of Intelligent Agri-Infrastructure Incorporating IoT and Cloud: Link Budget and Socio-Economic Impact.- Remote Sensing and Soil Quality.- Enabling IoT Wireless Technologies in Sustainable Livestock Farming toward Agriculture 4.0.
Textul de pe ultima copertă
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.
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.
Caracteristici
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