基于传感器的智能灌溉系统

Sanchita Gorai, Alekh Kumar, A. Kundu
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引用次数: 0

摘要

水体污染程度的增加使农业用水短缺。灌溉技术不仅克服了这个日益严重的问题,而且还提高了农民的效率,从而增加了一个国家的国内生产总值。本文旨在将物联网应用于室内灌溉方法,以控制水的浪费,提高土壤的效率。该系统通过控制系统板读取传感器数据并自动处理水(使用继电器电机和洒水器)。WiFi模块用于传感器和基站之间的通信。使用图形UI培养服务器上处理和显示的连续检测信息。现场水系统框架的远程检查减少了人为干预,允许在android手机上远程观察和控制。分布式计算是一个诱人的解决方案,可以解决由遥感装置产生的大量信息。本文提出并评估了一个基于云的远程通信框架,以筛选和控制大量传感器和执行器来评估植物的水需求。一个由太阳能驱动的光源被用来根据季节/作物的需要来管理土壤的温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DeMux Controlled Sensor Based Smart Irrigation System
The increase in pollution levels in water bodies has made water scarce for agricultural needs. Technology in irrigation not only overcomes this rising problem but also increases the efficiency of the farmers, thereby increasing the Gross Domestic Product of a country. This paper aims at using IoT in indoor irrigation methods to control the wastage of water and increase the efficiency of the soil. The proposed system reads the sensor data and handles water automatically (using relay motors and sprinklers) through a Control System board. A WiFi module is used for communication between sensors and base stations. Continuous detected information dealing with and showing on the server is cultivated using graphical UI. Remote checking of the field water system framework decreases human intercession and permits remote observing and controlling on the android phone. Distributed computing is an alluring answer for the huge measure of information created by the remote sensor arrangement. This paper proposes and assesses a cloud-based remote correspondence framework to screen and control a lot of sensors and actuators to evaluate the plants’ water needs. A light source powered by solar energy is used to manage the temperature of the soil according to season/crop needs.
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