Design of an IoT-based management and monitoring system for intelligent irrigation

M. Mojarad¹ , H. Ahmadi² , A. Behjathaghighi³ , M. Kakaei Karji⁴

Section:Research Paper, Product Type: Journal
Vol.9 , Issue.3 , pp.9-15, Jun-2021

Online published on Jun 30, 2021

Copyright © M. Mojarad, H. Ahmadi, A. Behjathaghighi, M. Kakaei Karji . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

View this paper at   Google Scholar | DPI Digital Library

XML View     PDF Download

How to Cite this Paper

Abstract :
Agriculture plays a major role in the world economy and most people depend on it for their livelihood. This makes water an important resource that must be conserved using the latest available technologies. Today, the Internet of Things has expanded its capabilities to smart agriculture. In this research, an automated and low-cost system for intelligent irrigation based on a fuzzy-based energy-aware routing approach is presented. In addition, a neural network is trained to determine the best irrigation program, based on information received from sensors (such as temperature, soil moisture, etc.). The user in the system can monitor the data collection process with mobile phones, mobile computers, etc. and manage the irrigation of agricultural products. The proposed system proves its intelligence, low cost and portability, its suitability for greenhouses, farms, etc. The simulation results show that the proposed method offers better results compared to the LEACH protocol as well as the WSN-IoT algorithm in various criteria such as grid life and power consumption

Key-Words / Index Term :
Internet of Things, Intelligent Irrigation, Intelligent Agriculture, Monitoring, LEACH Protocol

References :
[1] Dasgupta, A., Daruka, A., Pandey, A., Bose, A., Mukherjee, S., & Saha, S. (2019). Smart irrigation: IOT-based irrigation monitoring system. In Proceedings of International Ethical Hacking Conference 2018 (pp. 395-403). Springer, Singapore.
[2] Rezaeipanah, A., Mojarad, M., & Fakhari, A. (2020). Providing a new approach to increase fault tolerance in cloud computing using fuzzy logic. International Journal of Computers and Applications, 1-9.
[3] Vineela, T., NagaHarini, J., Kiranmai, C., Harshitha, G., & AdiLakshmi, B. (2018). IoT based agriculture monitoring and smart irrigation system using raspberry Pi. Int. Res. J. Eng. Technol, 5, 1417-1420.
[4] Rezaeipanah, A., Nazari, H., & Abdollahi, M. (2020). Reducing Energy Consumption in Wireless Sensor Networks Using a Routing Protocol Based on Multi-level Clustering and Genetic Algorithm. International Journal of Wireless and Microwave Technologies, 3(1), 1-16.
[5] Goap, A., Sharma, D., Shukla, A. K., & Krishna, C. R. (2018). An IoT based smart irrigation management system using Machine learning and open source technologies. Computers and electronics in agriculture, 155, 41-49.
[6] Rezaeipanah, A., Nazari, H., & Ahmadi, G. (2019). A hybrid approach for prolonging lifetime of wireless sensor networks using genetic algorithm and online clustering. Journal of Computing Science and Engineering, 13(4), 163-174.
[7] Rajkumar, M. N., Abinaya, S., & Kumar, V. V. (2017, March). Intelligent irrigation system—An IOT based approach. In 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT) (pp. 1-5). IEEE.
[8] Prabha, R., Sinitambirivoutin, E., Passelaigue, F., & Ramesh, M. V. (2018, March). Design and development of an IoT based smart irrigation and fertilization system for chilli farming. In 2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) (pp. 1-7). IEEE.
[9] Krishnan, R. S., Julie, E. G., Robinson, Y. H., Raja, S., Kumar, R., & Thong, P. H. (2020). Fuzzy Logic based Smart Irrigation System using Internet of Things. Journal of Cleaner Production, 252, 119902.
[10] Karar, M. E., Al-Rasheed, M. F., Al-Rasheed, A. F., & Reyad, O. (2020). IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation. arXiv preprint arXiv:2005.04158.
[11] Tiglao, N. M., Alipio, M., Balanay, J. V., Saldivar, E., & Tiston, J. L. (2020). Agrinex: A Low-Cost Wireless Mesh-based Smart Irrigation System. Measurement, 107874.
[12] Mousavi, S. K., Ghaffari, A., Besharat, S., & Afshari, H. (2020). Improving the security of internet of things using cryptographic algorithms: a case of smart irrigation systems. Journal of Ambient Intelligence and Humanized Computing, 1-19.
[13] Nawandar, N. K., & Satpute, V. R. (2019). IoT based low cost and intelligent module for smart irrigation system. Computers and Electronics in Agriculture, 162, 979-990.
[14] Alomar, B., & Alazzam, A. (2018, November). A Smart Irrigation System Using IoT and Fuzzy Logic Controller. In 2018 Fifth HCT Information Technology Trends (ITT) (pp. 175-179). IEEE.
[15] Vetter, B., Wang, F., & Wu, S. F. (1997, October). An experimental study of insider attacks for OSPF routing protocol. In Proceedings 1997 International Conference on Network Protocols (pp. 293-300).
[16] Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000, January). Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd annual Hawaii international conference on system sciences (pp. 10-pp). IEEE.
[17] Rakheja, P., Kaur, P., Gupta, A., & Sharma, A. (2012). Performance analysis of RIP, OSPF, IGRP and EIGRP routing protocols in a network. Journal of Computer Applications, 48(18), 6-11.