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Title A Smart Irrigation System To Automate Irrigation Process Using Iot And Artificial Neural Network
ID_Doc 4768
Authors Aggarwal S.; Kumar A.
Year 2019
Published 2nd International Conference on Signal Processing and Communication, ICSPC 2019 - Proceedings
DOI http://dx.doi.org/10.1109/ICSPC46172.2019.8976631
Abstract 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. © 2019 IEEE.
Author Keywords Android App; Artificial Neural Network; Internet of things; Machine Learning; Sensors; WEB App


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