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A Smart Irrigation System to Automate Irrigation Process Using IOT and Artificial Neural Network

机译:一种智能灌溉系统,可以使用物联网和人工神经网络自动化灌溉过程

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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.
机译:在今天的世界中,我们正在朝着日常生活的自动化,其中我们专注于创建智能城市,智能家庭等,其中包括使用人工智能,互联网涉及任务自动化的大量工作事情和机器学习。这些技术被广泛用于为自动化不同任务创建系统。在这项技术驱动的社会中,需要创造一个系统来自动化作物灌溉过程来帮助农民。目前使用的系统包括许多人类努力,金钱和时间,在制定自动灌溉系统之后不需要。在此,需要创建一个系统,该系统可以收集数据,然后分析该日期并实时生成结果。此外,整体成本应该足够低,使农民能够负担得起。在本文中,我们专注于创建一种低成本的智能设备,可用于收集不同地方,pH和土壤温度的土壤中的水分数据。我们侧重于创建带Arduino的设备以及一些传感器和模块,以在农场的不同地方收集这些数据。收集此数据后,此设备将在连接到设备的Wi-Fi模块的帮助下将此数据发送到服务器。同时,我们正在使用人工神经网络模型来分析该数据以产生高精度结果。最后基于结果,装置触发阀门以自动启动和停止农场的水流。

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