利用物联网和人工神经网络实现灌溉过程自动化的智能灌溉系统

Sachin Aggarwal, Adarsh Kumar
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引用次数: 16

摘要

在当今世界,我们正朝着日常生活任务的自动化方向发展,我们专注于创建智能城市,智能家居等,其中包括大量使用人工智能,物联网和机器学习处理任务自动化的工作。这些技术被广泛用于创建不同任务的自动化系统。在这个技术驱动的社会中,需要创建一个系统来自动化作物灌溉过程,以帮助农民。目前使用的系统包括大量的人力、金钱和时间,而在开发出自动化灌溉系统后,这些将不再需要。在这方面,需要创建一个系统,可以收集数据,然后分析数据并实时生成结果。此外,总体成本应该足够低,以便农民能够负担得起。在这篇论文中,我们专注于创造一种低成本的智能设备,可以用来收集不同地方土壤的水分、pH值和土壤温度的数据。我们专注于用Arduino和一些传感器和模块创建一个设备,在农场的不同地方收集这些数据。在收集到这些数据后,该设备将通过连接在设备上的Wi-Fi模块将这些数据发送到服务器。同时,我们使用人工神经网络模型对这些数据进行分析,以产生高精度的结果。最后,根据测试结果,该设备触发一个阀门,自动启动和停止农场内的水流。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Smart Irrigation System to Automate Irrigation Process Using IOT and Artificial Neural Network
In the today's world we are growing towards the automation of day to day daily life task in which we are focused on creation of smart cities, smart home etc. which includes a lot of work which deals with automation of task using Artificial Intelligence, Internet of Things and machine Learning. These technologies are widely used to creates a system for automation of different tasks. In this technology driven society there is a need of creation of a system to automate the process of irrigation of crops to help farmers. The currently used system includes a lot of human efforts, money and time which will not be required after the development of an automated irrigation system. In this there is a need of creating a system which can collect data then analyze that date and generate results in real time. also, the overall cost should be low enough so that a farmer can afford it. In this paper we are focusing on creating a low-cost smart device which can be used to collect the data of moisture in soil at different places, pH and temperature of soil. We focus of creating a device with Arduino along with some sensors and modules to collect these data at different places in farm. After collecting this data this device will send this data to server with the help of a Wi-Fi module attached to the device. At the same time, we are using an Artificial Neural Network model for the analysis of this data for generating high accuracy results. Finally based on the results the device triggers a valve to automatically start and stop the flow of water in the farm.
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