INTELLIGENT CONTROL SYSTEM FOR MONITORING THE MAINTENANCE OF THE CENTER PIVOT IRRIGATION SYSTEM | ||||
| Misr Journal of Agricultural Engineering | ||||
| Articles in Press, Accepted Manuscript, Available Online from 04 May 2024 PDF (1.1 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjae.2024.283120.1136 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Samir M. Ismail1; Tarek K. Zin El-Abedin1; Amr M. Shawky2; Ahmed A. Ali  3
| ||||
| 1Prof. Dr. of irrigation systems, Ag. Eng., Fac. of Ag., EL-Shatby, Alex. U., Egypt. | ||||
| 2Grad. Stud., Ag. and Bio. Eng., Fac. of Ag., EL-Shatby, Alex. U., Egypt. | ||||
| 3Assist. Prof., of irrigation systems., Ag. and Bio. Eng., Fac. of Ag., EL-Shatby, Alex. U., Egypt. | ||||
| Abstract | ||||
| The national Egypt strategy for sustainable agricultural development (SADS-2030),focuses on increasing agricultural area by approximately 1.5 million feddan to address the food gap. The central pivot irrigation system is one of the most effective ways to achieve this goal. Maintaining a center pivot device is hard. Moreover, repairing the damage that happens after the malfunction of the device will be time-consuming and costly. So, the main goal of this study was to monitor, detect early error and warn the operator before starting any irrigation process, which prevents a malfunction or crash of the center pivot. The developed monitoring systems use NTC thermistors and an oil level sensor to monitor oil temperature and leaks in the gear box and motor. Tire pressure monitoring sensor (TPMS) was used to monitor towers' tires pressure. These sensors were installed in a unit known as "Tower/central node board" which consists of two ESP32 microcontrollers installed inside the main control panel. The main control panel of the device collects all the vital readings from all towers and communicates them with the cloud server using the internet, which allows the remote control of the device. Field tests were performed by using a "Valley" center Pivot System at the Egyptian Ismailia governorate's conditions, for detecting the sensitivity and accuracy of the system. Data was collected from two towers of the center pivot system and analyzed in a simple digital model that was used to process and decide on possible maintenance instructions. | ||||
| Keywords | ||||
| Central pivot irrigation system; Monitoring systems; Early error detection; Maintenance | ||||
| References | ||||
|
Aaron, A. A.; Danny, H.R.; and Jonathan P.A. (2021). Novel Monitoring System for Detecting Malfunctioning In-Canopy Sprinklers on a Center Pivot Irrigation System. Journal of Irrigation and Drainage Engineering, © ASCE, ISSN 0733-9437. J. Irrig. Drain Eng., 2021, 147(6): 04021019.
Alptekin, Y. (2011). Integrated pest management of potatoes. Agricultural Sciences, 2(3), 297-300.
Brar, D.; Kranz, W. L.; Lo, T. H.; Irmak, S. and Martin, D. L. (2017). Energy conservation using variable-frequency drives for center-pivot irrigation: Standard systems. Transactions of the ASABE, 60(1), 95-106.
Buono Silva Baptista, V., Colombo, A., Barbosa, B. D., Alvarenga, L. A., & Valentim Diotto, A. (2020). Pressure Distribution on Center Pivot Lateral Lines: Analytical Models Compared to EPANET 2.0. Journal of Irrigation and Drainage Engineering, 146(8), 04020025.
Debauche, O.; Mahmoudi, S.; Elmoulat, M.; Mahmoudi, S. A.; Manneback, P. and Lebeau, F. (2020). Edge AI-IoT pivot irrigation, plant diseases, and pest’s identification. Procedia Computer Science, 177, 40-48.
Devan, P. K.; Arun, K.; Arvindkumar, N. H.; Aravind, R. and Kumar, R. D. (2021). IoT based solar powered smart irrigation system. In Journal of Physics: Conference Series (Vol. 2054, No. 1, p. 012074). IOP Publishing.
Dong, Y.; Kelley, L. and Anderson, E. (2023). Demonstration of Center Pivot Uniformity Evaluation and Retrofit to Improve Water Use Efficiency. Journal of Water Resource and Protection, 15(3), 71-84.
Dong, Y.; Kelley, L. and Miller, S. A. (2020). Efficient Irrigation Management with Center Pivot Systems. Development, 5-8.
Fipps, G. and New, L. (2005). Center Pivot Workbook. Texas Cooperative Extension, Texas A & M University System.
Gillespie, T. (Ed.). (2021). Fundamentals of vehicle dynamics. SAE international.
Grassini, P.; Torrion, J. A.; Yang, H. S.; Rees, J.; Andersen, D.; Cassman, K. G. and Specht, J. E. (2015). Soybean yield gaps and water productivity in the western US Corn Belt. Field Crops Research, 179, 150-163.
Grassini, P.; Yang, H.; Irmak, S.; Thorburn, J.; Burr, C. and Cassman, K. G. (2011). High-yield irrigated maize in the Western US Corn Belt: II. Irrigation management and crop water productivity. Field crops research, 120(1), 133-141.
Hines, S. and Neibling, H. (2013). Center pivot irrigation for corn: water management and system design considerations. Reno, NV, 11-13.
Kumar, G. K.; Bangare, M. L.; Bangare, P. M.; Kumar, C. R.; Raj, R.; Arias-Gonzáles, J. L. and Mia, M. S. (2023). Internet of Things Sensors and Support Vector machine integrated intelligent irrigation system for agriculture industry.
Matilla, D. M.; Murciego, A. L.; Jiménez-Bravo, D. M.; Mendes, A. S. and Leithardt, V. R. (2022). Low-cost Edge Computing devices and novel user interfaces for monitoring pivot irrigation systems based on Internet of Things and LoRaWAN technologies. Biosystems Engineering, 223, 14-29.
Nguyen, C. T.; Walker, P. D.; Zhou, S. and Zhang, N. (2022). Optimal sizing and energy management of an electric vehicle powertrain equipped with two motors and multi-gear ratios. Mechanism and Machine Theory, 167, 104513.
Ouazaa, S.; Latorre, B.; Burguete, J.; Serreta, A.; Playán, E.; Salvador, R. and Zapata, N. (2015). Effect of the start–stop cycle of center-pivot towers on irrigation performance: Experiments and simulations. Agricultural Water Management, 147, 163-174.
Paparao Nalajala, D.; Hemanth Kumar, P. and Bhavana Godavari, (2017). Design and Implementation of Modern Automated Real Time Monitoring System for Agriculture using Internet of Things (IoT). Journal of Engineering and Applied Sciences,12: 9389-9393.
Waller, P. and Yitayew, M. (2016). Center Pivot Irrigation Systems. In: Irrigation and Drainage Engineering, Springer, Cham, 209-228.
Zyrianoff, I.; Heideker, A.; Silva, D. and Kamienski, C. (2018). Scalability of an Internet of Things platform for smart water management for agriculture. In 2018 23rd conference of open innovations association (FRUCT) (pp. 432-439). IEEE. | ||||
|
Statistics Article View: 64 PDF Download: 43 |
||||
