Sensor based Smart Plant Monitoring using IOT and Deep Learning: A Systematic Approach

Sukhdeep Kaur, K. Joshi, M. C. Teja, Ajay Singh, Amen A. Khabeer, Sunil Shukla
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引用次数: 2

Abstract

As we can see, only a select few gadgets, such as PCs and smartphones, are internet-connected in the modern world and since governments across the world instituted lockdowns to stop the spread of COVID-19, interest in home gardening has exploded. Internet of Things (IoT) and the internet have completely taken over today's world. All humans utilize the internet to fulfill basic needs. The network of actual items is known as the Internet of Things (IOT). Simply put, it refers to the process of keeping an eye on a physical machine or object. It can also refer to the interconnection of physical objects that have been implanted with electronics, sensors, software, and network connectivity. The foundation of our nation is agriculture. The main issue in agriculture is water scarcity. The water resource is not used in an effective manner, so the water is wasted. To overcome this problem, we proposed plant monitoring approach.
基于传感器的智能工厂监测,使用物联网和深度学习:一种系统的方法
正如我们所看到的,在现代世界,只有个人电脑和智能手机等少数设备可以联网,自从世界各国政府为阻止COVID-19的传播而实施封锁以来,人们对家庭园艺的兴趣激增。物联网(IoT)和互联网已经完全接管了当今世界。所有人都利用互联网来满足基本需求。实际物品的网络称为物联网(IOT)。简单地说,它指的是监视物理机器或对象的过程。它也可以指被植入电子设备、传感器、软件和网络连接的物理对象的互连。我们国家的基础是农业。农业的主要问题是缺水。水资源没有得到有效利用,造成了水资源的浪费。为了克服这一问题,我们提出了植物监测方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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