Modification and Performance Evaluation of Time-Based Controller Smart Irrigation System
International Journal of Recent Engineering Science (IJRES) | |
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© 2023 by IJRES Journal | ||
Volume-10 Issue-5 |
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Year of Publication : 2023 | ||
Authors : Ugwu Kenneth Chikwado, Okafor Christopher Chukwunonso and Nebechukwu Agatha Chidinma |
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DOI : 10.14445/23497157/IJRES-V10I5P102 |
How to Cite?
Ugwu Kenneth Chikwado, Okafor Christopher Chukwunonso and Nebechukwu Agatha Chidinma, "Modification and Performance Evaluation of Time-Based Controller Smart Irrigation System," International Journal of Recent Engineering Science, vol. 10, no. 5, pp. 13-23, 2023. Crossref, https://doi.org/10.14445/23497157/IJRES-V10I5P102
Abstract
Farmers around the world face the problem of meeting crops' water needs, especially those farmers in third-world countries. It is from this global problem that the inspiration to modify a time-based smart irrigation system that will not only optimize water resources management but also significantly reduce the required manpower for crop production was drawn. This system consists of three blocks, which include input or data collecting block, controller data processing block and output/actuator block. From the experiments, the following observation was made: from a particular soil sample with constant percentage of soil dryness 100%, it can be seen that the soil moisture content increases with an increase in irrigation, for instance, clay, loamy and sandy soils at 100% soil dryness, the soil moisture content increase from 8.7% to 26.5%, 8.6% to 26.0% and 7.4% to 12.3% respectively for irrigation time of 5, 1o and 15secs. Also, taking a constant irrigation time of 15secs for instance, and testing soil samples of different dryness of 100%,75%,50%,25% were decreased in soil moisture content after irrigation of 15secs to 26.5%,20.2%,13.4%,7.5% of clay, 26%,20%,13%,7.3% of loamy and 12.3%,11.7%,9.8%,7.3% of sandy soils respectively. With this, it could be seen that clay soil showed a higher tendency to hold more moisture than loamy and sandy soil, and sandy soil holds the least moisture compared to other soil types.
Keywords
Modification, Performance evaluation, Time-Based, Smart, Irrigation.
Reference
[1] Abdelrazek Elnashar et al., “Crop Water Requirements and Suitability Assessment in Arid Environments: A New Approach,” Agronomy, vol. 11, no. 2, pp. 1-18, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[2] BIGDOG1971, Watering System – Introduction, AutoDesk Instructables. [Online]. Available: https://www.instructables.com/WATERING-SYSTEM-INTRODUCTION/
[3] S. Lawrence Dingman, Physical Hydrology, 3rd ed., Waveland Press, 2015.
[Google Scholar] [Publisher Link]
[4] The State of Food and Agriculture, FAO Agriculture Series, Italy, pp.1-285, 1997.
[Publisher Link]
[5] Martina Flörke et al., “Domestic and Industrial Water Uses of the Past 60 Years as a Mirror of Socio-Economic Development: A Global Simulation Study,” Global Environmental Change, vol. 23, no. 1, pp. 144-156, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Food and Agriculture Organization of the United Nations (FAO) Rome, Network Magazine Issue 28, 2008. [Online]. Available: https://www.fao.org/3/a1596e/a1596e00.htm
[7] Kimanu Paul Njoroge, “Microcontroller-Based Irrigation System,” BSc thesis, University of Nairobi, College of Architecture and Engineering, Department of Electrical and Information Engineering, Nairobi Kenya, 2012.
[Publisher Link]
[8] S.K. Luthra et al., “Design and Development of an Auto Irrigation System,” Agricultural Water Management, vol. 33, no. 2-3, pp. 169- 181, 1997.
[CrossRef] [Google Scholar] [Publisher Link]
[9] N. Dhana Lakshmi, and Gomathi K. S, “Smart Irrigation System Autonomous Monitoring and Controlling of Water Pump by Using Photovoltaic Energy,” SSRG International Journal of Electronics and Communication Engineering, vol. 2, no. 11, pp. 21-26, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Marie France Leroux, Design of an Automated Irrigation System, McGill University, Department of Bioresource Engineering MontrØal, QC, Canada, pp. 1-73, 2005.
[Google Scholar] [Publisher Link]
[11] Nuradin Mohamed Abdikadir et al., “Smart Irrigation System,” SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 8, pp. 224-234, 2023.
[CrossRef] [Publisher Link]
[12] Purnima, and S.R.N. Reddy, “Design of a Remote Monitoring and Control System with Automatic Irrigation System Using GSMBluetooth,” International Journal of Computer Applications, vol. 47, no. 12, pp. 6-13, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[13] N. Siththtikumar, and M.W.P. Maduranga “Designing and Implementing an Arduino Based Low-Cost Automated Water Irrigation System for Home Gardens,” International Research Symposium on Engineering Advancements SAITM, 2016.
[Google Scholar]
[14] A. Venkateshwar, and Venkanagouda C. Patil, “Smart Irrigation System Based on Spatial-Temporal Convolution Long Short Term Memory for Forecasting of Temperature and Humidity,” International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 149-157, 2022.
[CrossRef] [Publisher Link]
[15] Guide for Soil Moisture Sensor YL-69 or HL-69 with Arduino, Random Nerd Tutorials. [Online]. Available: https://randomnerdtutorials.com/guide-for-soil-moisture-sensor-yl-69-or-hl-69-with-the-arduino/
[16] Keyurbhai A. Jani, Nirbhay Kumar Chaubey, “SDIPMIoT: Smart Drip Irrigation and Preventative Maintenance Using IoT,” SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 7, pp. 22-30, 2023.
[CrossRef] [Publisher Link]
[17] Sandeep Kaur, and Deepali, “An Automatic Irrigation System for Different Crops with WSN,” 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2017.
[CrossRef] [Google Scholar] [Publisher Link]