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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
10.5120/ijca2021921688

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 = { https://ijcaonline.org/archives/volume183/number30/32121-2021921688/ },
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
Abstract

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.

References
  1. Wadekar, S., Vakare, V., Prajapati, R., Yadav, S. and Yadav, V., 2016, October. Smart water management using IOT. In 2016 5th International Conference on Wireless Networks and Embedded Systems (WECON) (pp. 1-4). IEEE.
  2. Kamienski, C., Soininen, J.P., Taumberger, M., Dantas, R., Toscano, A., Salmon Cinotti, T., Filev Maia, R. and Torre Neto, A., 2019. Smart water management platform: IoT-based precision irrigation for agriculture. Sensors, 19(2), p.276.
  3. Suresh, M., Muthukumar, U. and Chandapillai, J., 2017, July. A novel smart water-meter based on IoT and smartphone app for city distribution management. In 2017 IEEE region 10 symposium (TENSYMP) (pp. 1-5). IEEE.
  4. Radhakrishnan, V. and Wu, W., 2018, June. IoT technology for smart water system. In 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) (pp. 1491-1496). IEEE.
  5. Bouwer, H., 2000. Integrated water management: emerging issues and challenges. Agricultural water management, 45(3), pp.217-228.
  6. Parashar, M., Patil, R., Singh, S., VedMohan, V. and Rekha, K.S., 2018. Water level monitoring system in water dispensers using IoT. International Research Journal of Engineering and Technology (IRJET), 5(04), pp.2395-0056.
  7. Myint, C.Z., Gopal, L. and Aung, Y.L., 2017, May. Reconfigurable smart water quality monitoring system in IoT environment. In 2017 IEEE/ACIS 16th international conference on computer and information science (ICIS) (pp. 435-440). IEEE.
  8. Encinas, C., Ruiz, E., Cortez, J. and Espinoza, A., 2017, April. Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture. In 2017 Wireless Telecommunications Symposium (WTS) (pp. 1-7). IEEE.
  9. Skarga-Bandurova, I., Krytska, Y., Shorokhov, M., Suvorin, O., Barbaruk, L. and Ozheredova, M., 2019, August. Towards development IoT-based water quality monitoring system. In 2019 7th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW) (pp. 140-145). IEEE.
  10. Budiarti, R.P.N., Tjahjono, A., Hariadi, M. and Purnomo, M.H., 2019, October. Development of IoT for automated water quality monitoring system. In 2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE) (pp. 211-216). IEEE.
  11. Vijayakumar, N. and Ramya, A.R., 2015, March. The real time monitoring of water quality in IoT environment. In 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS) (pp. 1-5). IEEE.
  12. Giannoccaro, N.I. and Spedicato, L., 2012. Ultrasonic sensors for measurements of liquid level, volume and volumetric flow in a tank. Precision Instrument and Mechanology.
  13. Getu, B.N. and Attia, H.A., 2016, December. Automatic water level sensor and controller system. In 2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA) (pp. 1-4). IEEE.
  14. Westall F, Brack A. The importance of water for life. Space Science Reviews. 2018 Mar;214(2):1-23.
  15. Wen Y, Xu J. Scientific importance of water‐processable PEDOT–PSS and preparation, challenge and new application in sensors of its film electrode: a review. Journal of Polymer Science Part A: Polymer Chemistry. 2017 Apr 1;55(7):1121-50.
  16. Kelly MR, Lant NJ, Kurr M, Burgess JG. Importance of water-volume on the release of microplastic fibers from
  17. laundry. Environmental science & technology. 2019 Aug 28;53(20):11735-44.
  18. Mandal M, Huang G, Hassan NU, Peng X, Gu T, Brooks-Starks AH, Bahar B, Mustain WE, Kohl PA. The importance of water transport in high conductivity and high-power alkaline fuel cells. Journal of The Electrochemical Society. 2019 Oct 9;167(5):054501.
  19. Cha Y, Cho KH, Lee H, Kang T, Kim JH. The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers. Water research. 2017 Nov 1;124:11-9.
  20. Sreekumar A, Punnathanam V, Shastri Y. Sustainability driven design of lignocellulosic ethanol system highlighting importance of water footprint. Biomass and Bioenergy. 2021 Aug 1;151:106174.
  21. Kiani H, Sun DW. Water crystallization and its importance to freezing of foods: A review. Trends in Food Science & Technology. 2011 Aug 1;22(8):407-26.
Index Terms

Computer Science
Information Sciences

Keywords

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