Smart Irrigation Integrated With IoT

V. R. Dharunkarthi *, R. Praveen **, S. Srikailainath ***, E. Karthick Raja ****, S. Gayathri*****
*-**** Final Year, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.
***** Assistant Professor, Department of Electrical & Electronics Engineering, AVS Engineering College, Ammapet, Salem, India.
Periodicity:January - March'2019
DOI : https://doi.org/10.26634/jee.12.3.15738

Abstract

Water is the evidence for all the living organisms on Earth. The scarcity of water is one of the main problems faced by the world nowadays. Agriculture remains the sector which contributes the highest to India's GD. The objective or aim of this work is to regulate water use in irrigating processes and also to improve the quality of the crop in agriculture. Environmental Monitoring Systems with Sensors systems have dramatically improved to peak over the years. This work may become a huge rated product while the importance of water regulation is understood. The purpose of this paper is to present a project called “Smart Irrigation Integrated with IoT” which is capable of monitoring agricultural conditions in a pre-programmed manner. This sensor system will monitor the relevant environmental data like soil moisture, in terms of percentage. The data from, the sensors will be used for the control either automatic or manual control as well as upgrading the irrigation system. This model utilizes the real run-time data from the moisture sensor to minimize the use of water in the agricultural fields. Simultaneously all the sensor values will be updated in the IoT through the GSM module in the kit, this helps us to track the system which we have designed through Android interface and this process also helps to improve the agricultural productions. The farmer analyses the sensor data in the server about the field condition anytime, anywhere and controls the flow of water hence by reducing the manpower and time.

Keywords

Moisture Sensor, RS232, GPRS, Arduino.

How to Cite this Article?

Dharunkarthi , V., R., Praveen , R., Srikailainath, S., Raja, E., K., & Gayathri, S. (2019). Smart Irrigation Integrated With IoT i-manager’s Journal on Electrical Engineering, 12(3), 21-27. https://doi.org/10.26634/jee.12.3.15738

References

[1]. Chate, B. K., & Rana, J. G. (2016). Smart irrigation system using Raspberry Pi. International Research Journal of Engineering and Technology (IRJET), 3(05), 247-249.
[2]. Gavali, M. S., Dhus, B. J., & Vitekar, A. B. (2016). A Smart Irrigation System for Agriculture Based on Wireless Sensors. International Journal of Innovative Research in Science, Engineering and Technology, 5(5).
[3]. Harishankar, S., Kumar, R. S., Sudharsan, K. P., Vignesh, U., & Viveknath, T. (2014). Solar powered smart irrigation system. Advance in Electronic and Electric Engineering, 4(4), 341-346.
[4]. Jadhav, S., & Hambarde, S. (2016). Android based Automated Irrigation System using Raspberr y Pi. International Journal of Science and Research, 5(6), 2345- 2351.
[5]. Kokkonis, G., Kontogiannis, S., & Tomtsis, D. (2017). A Smart IoT Fuzzy Irrigation System. IOSR Journal of Engineering, 7(6), 15-21.
[6]. Lorvanleuang, S., & Zhao, Y. (2018). Automatic Irrigation System using Android. Open Access Library Journal, 5(04), 1-7.
[7]. Mahesh, A. R., & Rao, K. R. (2016). An Android based Automatic Irrigation System using a WSN and GPRS Module. Indian Journal of Science and Technology, 9(30), 1-6.
[8]. Parameswaran, G., & Sivaprasath, K. (2016). Arduino based smart drip irrigation system using Internet of Things. Int. J. Eng. Sci., 5518.
[9]. Rohit, S., Alshy, S., & Rohit, T. (2016). Smart Irrigation System using Mobile Phone. International Research Journal of Engineering and Technology, 3(4), 1400-1402.
[10]. Suprabha, J., & Shailesh, H. (2014). Android based Automated Irrigation System using Raspberry Pi. International Journal of Science and Research (IJSR), 5(6), 2345-2351.
[11]. Tarange, P. H., Mevekari, R. G., & Shinde, P. A. (2015, March). Web based automatic irrigation system using wireless sensor network and embedded Linux board. In 2015 International Conference on Circuits, Power and Computing Technologies (ICCPCT-2015) (pp. 1-5). IEEE.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.