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Reseach Article

A Novel Approach to Water Plants using IoT and Machine Learning

by Moontasir Moon, Fariha Jahan, Faraz Ahmed, Rakibul Hassan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 30
Year of Publication: 2021
Authors: Moontasir Moon, Fariha Jahan, Faraz Ahmed, Rakibul Hassan

Moontasir Moon, Fariha Jahan, Faraz Ahmed, Rakibul Hassan . A Novel Approach to Water Plants using IoT and Machine Learning. International Journal of Computer Applications. 183, 30 ( Oct 2021), 25-31. DOI=10.5120/ijca2021921688

@article{ 10.5120/ijca2021921688,
author = { Moontasir Moon, Fariha Jahan, Faraz Ahmed, Rakibul Hassan },
title = { A Novel Approach to Water Plants using IoT and Machine Learning },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2021 },
volume = { 183 },
number = { 30 },
month = { Oct },
year = { 2021 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2021921688 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:18:19.228611+05:30
%A Moontasir Moon
%A Fariha Jahan
%A Faraz Ahmed
%A Rakibul Hassan
%T A Novel Approach to Water Plants using IoT and Machine Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 30
%P 25-31
%D 2021
%I Foundation of Computer Science (FCS), NY, USA

This paper describes an Internet of Things (IoT) based model that can automatically water the plants or lands when it needs water based on weather. Although many related works have been established on this topic, this proposed system would spontaneously water the plants or lands using groundwater when no reserved rainwater is available in the water tank. In the proposed model, a user connected to the internet would be able to control and monitor all the watering processes using a mobile application. The smart watering system uses solar energy to save electricity with a water pumping system. All the sensors, Arduino, Cloud, router, App, and its functionality have been adequately discussed in this paper. The sensor’s data which is collected is processed by the control module and is sent to the cloud so that it can be retrieved in the user’s mobile application. The proposed system can do all the tasks mechanically with the help of Machine learning, Big data, and IoT by taking permission from the user through the application. The result justifies the effectiveness of the proposed system.

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Index Terms

Computer Science
Information Sciences


Internet of Things (IoT) device Big Data Machine Learning Arduino Cloud Sensors Android application