利用深度学习、大数据和物联网的智慧农业服务

Ajay Sharma
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引用次数: 0

摘要

物联网被认为对科技和现代社会都有持久的影响。在现代信息社会中,物联网可以被视为一种全球基础设施,通过将物理和虚拟设备和事物连接到现有甚至未来的信息和通信技术,实现更先进的服务。物联网利用现代技术的识别、数据捕获、处理和通信能力,允许普通机器为应用程序提供新的数据源,从而可以提供更先进的服务。在信息通信技术方面,物联网将任何东西的通信添加到任何时间、任何地点。技术的提高也导致了智能农业的发展。本章讨论了用于智能农业的不同电子传感器,如土壤湿度传感器,节点MCU,水流传感器,继电器,水泵,太阳能系统。下一节将讨论智能农业中的大数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things)
The internet of things is believed to have long-lasting effects in both technology and modern society. In a modern information society, IoT can be seen as a global infrastructure that enables more advanced services by connecting physical and virtual devices and things to currently existing and even upcoming information and communication technologies. IoT takes advantage of identification, data capture, processing, and communication capabilities of modern technology to allow regular machines to provide new data sources to applications, which in turn can offer more advanced services. In terms of ICT technologies, IoT adds any thing communication to any time and any place. An increase in technology also leads to the development of smart agriculture. This chapter deals with the different electronic sensors used for the smart agriculture like soil moisture sensor, node MCU, water flow sensor, relay, water pump, solar system. The next section deals with big data in smart agriculture.
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