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Titlebook: IoT-based Intelligent Modelling for Environmental and Ecological Engineering; IoT Next Generation Paul Krause,Fatos Xhafa Book 2021 The Ed

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樓主: Roosevelt
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發(fā)表于 2025-3-23 11:50:05 | 只看該作者
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發(fā)表于 2025-3-23 16:43:16 | 只看該作者
Drones for Intelligent Agricultural Management,ion and worth about $5,084,800 million. Therefore, progressive growth in agriculture is very much needed for these countries. The production rate of crops in agriculture is affected by a number of factors such as temperature, humidity, rainfall, the onset of pests, etc. which are not under the direc
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發(fā)表于 2025-3-23 19:48:11 | 只看該作者
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發(fā)表于 2025-3-24 01:37:02 | 只看該作者
Design Architecture of Intelligent Agri-Infrastructure Incorporating IoT and Cloud: Link Budget andfit to adapt to the growth with a satisfactory level. Subsequently, advanced harvesting techniques are much necessary to approach the need for nourishment of these growing numbers of populace. In nearby years, smart farming frameworks aided by embedded electronics and the Internet of Things (IoT) ge
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發(fā)表于 2025-3-24 03:34:04 | 只看該作者
Remote Sensing and Soil Quality,rage. Agriculture relies on healthy soil for crop growth and animal grazing. Water retention reduces the risks of desertification and of flooding as the capacity to retain water reduces the rate of surface water flow. In addition, soil organic carbon represents the largest terrestrial carbon stock a
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發(fā)表于 2025-3-24 09:38:33 | 只看該作者
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發(fā)表于 2025-3-24 14:23:42 | 只看該作者
Enabling IoT Wireless Technologies in Sustainable Livestock Farming Toward Agriculture 4.0,mart” agricultural production tend to be adopted. This fact is considered to be critical in addressing the challenge of securing adequate food supplies for the constantly increasing world population, taking also into regard the imperative necessity of exploiting natural resources according to polici
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發(fā)表于 2025-3-24 17:02:31 | 只看該作者
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發(fā)表于 2025-3-24 20:35:17 | 只看該作者
Automatic Plant Leaf Disease Detection and Auto-Medicine Using IoT Technology,easier to identify leaf diseases early in leaf health and can promote disease control through proper management strategies. This chapter provides a method for the early detection of leaf diseases in plants based on some important features taken from their images. Beaglebone Black (BBB) is interfaced
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發(fā)表于 2025-3-25 00:14:54 | 只看該作者
Dynamic Shift from Cloud Computing to Industry 4.0: Eco-Friendly Choice or Climate Change Threat,ch as Industry 4.0 and Internet of Things (IoT). With the emergence of Industry 4.0, the quality of cloud service has increased; however, CDC consumes a large amount of energy and produces a huge quantity of carbon footprint, which is one of the major drivers of climate change. This chapter discusse
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