Smart greenhouses using internet of things: case study on tomatoes

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
S. Juneidi
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引用次数: 0

Abstract

Abstract Many practices are available to apply to smart agricultural methods, defended as allowing monitoring and controlling the environment necessary for the growth of many crops. Due to the random conditions affecting crop growing and cultivation, the idea of greenhouse use is emerging, as a way of managing all variables affecting growth and production of crops. Photosynthesis is the most important process for plants, with three main inputs: water, light, and carbon dioxide. Atmospheric temperature and humidity, soil richness, and plant nutrition are also vital for crop production. This research is concerned with controlling the environment of plants and plant nutrition. The Internet of Things (IoT) is proposed in this research as a solution to control and to manage all of these variables. Most important was to find a method that provides perfect analysis and control of a suitable environment for crops in greenhouses. Smart management of variables to manage crops is becoming a necessity. With IoT we can keep an eye on and manage all variables to grow crops in the best conditions for crop production. This article will discuss the kinds of variables that play important roles in growing a good crop. The next issue is how to retrieve these variables as big data, using sensors; how to save them to the cloud for processing; and then how to create actions according to readings of variables and predefined interdependent relations, with the main aim of better production in smart greenhouses.
使用物联网的智能温室:番茄案例研究
摘要许多实践可用于智能农业方法,被辩护为允许监测和控制许多作物生长所需的环境。由于影响作物生长和种植的随机条件,温室使用的想法正在出现,作为一种管理影响农作物生长和生产的所有变量的方法。光合作用是植物最重要的过程,有三个主要输入:水、光和二氧化碳。大气温度和湿度、土壤丰富度和植物营养对作物生产也至关重要。这项研究关注的是控制植物的环境和植物的营养。物联网(IoT)是本研究中提出的一种控制和管理所有这些变量的解决方案。最重要的是找到一种方法,为温室中的作物提供完美的分析和控制环境。对变量进行智能管理以管理作物正成为必要。有了物联网,我们可以关注和管理所有变量,以在作物生产的最佳条件下种植作物。本文将讨论在种植好作物方面发挥重要作用的各种变量。下一个问题是如何使用传感器将这些变量作为大数据进行检索;如何将它们保存到云中进行处理;然后是如何根据变量的读数和预定义的相互依存关系来创造行动,主要目的是在智能温室中更好地生产。
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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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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