| 書目名稱 | IoT-based Intelligent Modelling for Environmental and Ecological Engineering | | 副標(biāo)題 | IoT Next Generation | | 編輯 | Paul Krause,Fatos Xhafa | | 視頻video | http://file.papertrans.cn/476/475132/475132.mp4 | | 概述 | 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 se | | 叢書名稱 | Lecture Notes on Data Engineering and Communications Technologies | | 圖書封面 |  | | 描述 | .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, cl | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Empirical Ecology; Agriculture 4; 0; Smart Farming Technologies; Theoretical Ecology; Machine Learning an | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-71172-6 | | isbn_softcover | 978-3-030-71171-9 | | isbn_ebook | 978-3-030-71172-6Series ISSN 2367-4512 Series E-ISSN 2367-4520 | | issn_series | 2367-4512 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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