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020 _a9783030711726
024 7 _a10.1007/978-3-030-71172-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH541.15.S5
_b2021 EB
245 1 0 _aIoT-based Intelligent Modelling for Environmental and Ecological Engineering :
_bIoT Next Generation EcoAgro Systems
_cedited by Paul Krause, Fatos Xhafa.
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XV, 308 páginas)
_b153 ilustraciones, 139 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aLecture Notes on Data Engineering and Communications Technologies
_x2367-4520
_v67
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aIoT-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.
520 3 _aThis 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.
988 _aSpringer_Robotics_2021
650 7 _2embne
_9138672
_aMétodos de simulación
650 7 _2embne
_aEcología
_9404984
700 1 _aKrause, Paul C.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_969258
700 1 _aXhafa, Fatos
_eeditor literario
_0(orcid)0000-0001-6569-5497
_1https://orcid.org/0000-0001-6569-5497
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_923557
776 0 8 _iPrinted edition:
_z9783030711719
776 0 8 _iPrinted edition:
_z9783030711733
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-71172-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE