The Design and Performance Evaluation of a Wireless Sensor Network Based Irrigation System on Different Soil Types

Main Article Content

Buhari Ugbede Umar
Eustace Manayi Dogo
Bello Kontagora Nuhu
Arifa Khatoon Haq
Paul Tobi Olaleye

Keywords

IoT, ZigBee, WSN, Wi-Fi Module, Arduino, Irrigation System

Abstract

In the Nigerian economy, agriculture plays a very important role, and most of its people depend on it for their livelihood. Agricultural practices in the country are still mainly based on conventional, traditional methods of farming which usually results in wastage of water resources and low production of crops to meet the country's demand. There is a need to transform farming from the traditional way to a more efficient method with optimum water utilization. Irrigation is an assistive measure to salvage the problem of inadequate water for dry season farming. Irrigation consumes a lot of water, time and must be done on a timely basis. The automated irrigation system helps to curb the problem of overwatering and under watering of the land. This research proposed an Arduino-based smart irrigation system using a wireless sensor network to overcome the problem of overwatering, underwatering, and efficient time utilization in farming. The system is implemented using Arduino IDE, Proteus Simulation Tools, and Blynk Platform. The effect of the four-mobile network: MTN, GLO, Airtel and 9mobile on response time for Gidan- Kwano area was evaluated. Testing carried out on the system resulted in a response time of 0.75 seconds for Glo 2G network and 0.45 seconds for Glo 4G network. Less than 1sec in the worst-case scenario. This makes the system effective in terms of time response, thereby eradicate the waste of time that manual system operation poised to irrigation scheduling. Also, the appropriate soil moisture content is maintained, whether it rains or not. This reduces excesses and ensures healthy plant growth, increasing agricultural productivity, and cultivating crops are made possible throughout the year. The system also will help in driving agricultural innovation through the use of IoT.


 

Abstract 232 | PDF Downloads 222

References

[1] Y. Shekhar, E. Dagur, S. Mishra, R. J. Tom, M. Veeramanikandan, and S. Sankaranarayanan, “Intelligent IoT based automated irrigation system,” Int. J. Appl. Eng. Res., vol. 12, no. 18, pp. 7306–7320, 2017.
[2] A. Nasiakou, M. Vavalis, and D. Zimeris, “Smart energy for smart irrigation,” Comput. Electron. Agric., vol. 129, pp. 74–83, 2016, DOI: 10.1016/j.compag.2016.09.008.
[3] R. Koech and P. Langlat, “Improving irrigation water use efficiency: A review of advances, challenges and opportunities in the Australian context,” mdpi.com, 2018, Accessed: Sep. 08, 2021.
[4] A. Muhammad, B. Haider, and Z. Ahmad, “IoT Enabled Analysis of Irrigation Rosters in the Indus Basin Irrigation System,” Procedia Eng., vol. 154, pp. 229–235, 2016, DOI: 10.1016/j.proeng.2016.07.457.
[5] M. S. Munir, I. S. Bajwa, M. A. Naeem, and B. Ramzan, “Design and implementation of an IoT system for smart energy consumption and smart irrigation in tunnel farming,” Energies, vol. 11, no. 12, 2018, DOI: 10.3390/en11123427. [6] H. Navarro-Hellín, J. Martínez-del-Rincon, R. Domingo-Miguel, F. Soto-Valles, and R. Torres-Sánchez, “A decision support system for managing irrigation in agriculture,” Comput. Electron. Agric., vol. 124, pp. 121–131, 2016, doi: 10.1016/j.compag.2016.04.003.
[7] H. Biabi, S. Abdanan Mehdizadeh, and M. Salehi Salmi, “Design and implementation of a smart system for water management of lilium flower using image processing,” Comput. Electron. Agric., vol. 160, pp. 131–143, 2019, DOI: 10.1016/j.compag.2019.03.019.
[8] N. K. Nawandar and V. R. Satpute, “IoT based low cost and intelligent module for smart irrigation system,” Comput. Electron. Agric., vol. 162, pp. 979–990, 2019, DOI: 10.1016/j.compag.2019.05.027.
[9] D. Kandris, C. Nakas, D. Vomvas, and G. Koulouras, “Applications of wireless sensor networks: An up-to-date survey,” Appl. Syst. Innov., vol. 3, no. 1, pp. 1–24, 2020, DOI: 10.3390/asi3010014.
[10] S. R. Jondhale, R. Maheswar, and J. Lloret, “Fundamentals of Wireless Sensor Networks,” EAI/Springer Innov. Commun. Comput., pp. 1–19, 2022, DOI: 10.1007/978-3-030-74061-0_1.
[11] R. Priyadarshi, B. Gupta, and A. Anurag, “Wireless Sensor Networks Deployment: A Result Oriented Analysis,” Wirel. Pers. Commun., vol. 113, no. 2, pp. 843–866, 2020, DOI: 10.1007/s11277-020-07255-9.
[12] R. Kashyap, Applications of Wireless Sensor Networks in Healthcare. 2019.
[13] H. Landaluce, L. Arjona, A. Perallos, F. Falcone, I. Angulo, and F. Muralter, “A review of iot sensing applications and challenges using RFID and wireless sensor networks,” Sensors (Switzerland), vol. 20, no. 9, pp. 1–18, 2020, DOI: 10.3390/s20092495.
[14] L. Hamami and B. Nassereddine, “Towards a smart irrigation system based on wireless sensor networks (WSNs),” Proc. 1st Int. Conf. Comput. Sci. Renew. Energies, ICCSRE 2018, no. Iccsre 2018, pp. 433–442, 2018, DOI: 10.5220/0009776004330442.
[15] N. M. Tiglao, M. Alipio, J. V. Balanay, E. Saldivar, and J. L. Tiston, “Agrinex: A low-cost wireless mesh-based smart irrigation system,” Meas. J. Int. Meas. Confed., vol. 161, p. 107874, 2020, DOI: 10.1016/j.measurement.2020.107874.
[16] C. J. H. Pornillos et al., “Smart Irrigation Control System Using Wireless Sensor Network Via Internet-of-Things,” 2020 IEEE 12th Int. Conf. Humanoid, Nanotechnology, Inf. Technol. Commun. Control. Environ. Manag. HNICEM 2020, 2020, DOI: 10.1109/HNICEM51456.2020.9399995.
[17] Meeradevi, M. A. Supreetha, M. R. Mundada, and J. N. Pooja, “Design of a smart water-saving irrigation system for agriculture based on a wireless sensor network for better crop yield,” Lect. Notes Electr. Eng., vol. 500, pp. 93–104, 2019, DOI: 10.1007/978-981-13-0212-1_11.
[18] A. C. Bartlett, A. A. Andales, M. Arabi, and T. A. Bauder, “A smartphone app to extend use of a cloud-based irrigation scheduling tool,” Comput. Electron. Agric., vol. 111, pp. 127–130, 2015, DOI: 10.1016/j.compag.2014.12.021.
[19] K. Chartzoulakis and M. Bertaki, “Sustainable Water Management in Agriculture under Climate Change,” Agric. Agric. Sci. Procedia, vol. 4, pp. 88–98, 2015, doi: 10.1016/j.aaspro.2015.03.011. [20] R. B. Venkatapur and S. Nikitha, “Review on Closed Loop Automated Irrigation System,” The Asian Review of Civil Engineering, 2017. www.trp.org.in (accessed Sep. 08, 2021).
[21] A. Susmitha, T. Alakananda, M. L. Apoorva, and T. K. Ramesh, “Automated Irrigation System using Weather Prediction for Efficient Usage of Water Resources,” IOP Conf. Ser. Mater. Sci. Eng., vol. 225, no. 1, 2017, DOI: 10.1088/1757-899X/225/1/012232.
[22] L. Kamelia, M. A. Ramdhani, A. Faroqi, and V. Rifadiapriyana, “Implementation of Automation System for Humidity Monitoring and Irrigation System,” IOP Conf. Ser. Mater. Sci. Eng., vol. 288, no. 1, 2018, DOI: 10.1088/1757-899X/288/1/012092.
[23] A. Rajendran, S. Ezhilnirai Kavinila, J. Harini, and V. O. Sangeethaa, “Automatic irrigation on sensing soil moisture content,” Int. J. Innov. Technol. Explor. Eng., vol. 8, no. 6, pp. 798–803, 2019, Accessed: Sep. 08, 2021. [Online]. Available: https://www.academia.edu/download/54646882/IRJET-V3I340.pdf.
[24] J. Patel, E. Patel, and P. Pati, “Sensor and Cloud-Based Smart Irrigation System With Arduino: a Technical Review,” Int. J. Eng. Appl. Sci. Technol., vol. 03, no. 11, pp. 25–29, 2019, DOI: 10.33564/ijeast.2019.v03i11.005.
[25] V. Vinoth Kumar, R. Ramasamy, S. Janarthanan, and M. VasimBabu, “Implementation of iot in smart irrigation system using arduino processor,” Int. J. Civ. Eng. Technol., vol. 8, no. 10, pp. 1304–1314, 2017.
[26] A. Chitransh, A. Sagar, and A. Kumar, “Automated Solar Powered Irrigation System A Technical Review,” Int. Res. J. Eng. Technol., pp. 3–5, 2016, Accessed: Sep. 08, 2021.
[27] O. BingöL, Burcin Özkaya, and M. Bayram, “Wireless Sensor Network Based Remote Drip Irrigation System,” J. Eng. Sci. Des., vol. 6, no. 4, 2018.
[28] A. A. Felix and O. H. E, “Design and implementation of an automatic irrigation system based on monitoring soil moisture,” Electr. Inf. Eng. Dep. Covenant Univ. Niger., no. April 2017, pp. 540–544, 2016, DOI: 10.1109/ICICI.2017.8365190.
[29] S. Adamala, “Traditional to Smart Irrigation methods in India,” Am. J. Agric. Res., vol. 1, no. 1, p. 1, 2016, doi: 10.28933/AJAR-08-1002.
[30] J. Kumar, S. Mishra, A. Hansdah, and R. Mahato, “Design of Automated Irrigation System based on Field Sensing and Forecasting,” Int. J. Comput. Appl., vol. 146, no. 15, pp. 975–8887, 2016, DOI: 10.5120/ijca2016910938.
[31] M. Gupta, P. Srivastava, and T. Islam, "Integrative use of near-surface satellite soil moisture and precipitation for estimation of improved irrigation scheduling parameters," in Satellite Soil Moisture Retrieval: Elsevier, 2016, pp. 271-288.
[32] J. Gutierrez, J. F. Villa-Medina, A. Nieto-Garibay, and M. A. Porta-Gandara, “Automated irrigation system using a wireless sensor network and GPRS module,” IEEE Trans. Instrum. Meas., vol. 63, no. 1, pp. 166–176, 2014, DOI: 10.1109/TIM.2013.2276487.

Similar Articles

1-10 of 32

You may also start an advanced similarity search for this article.