Drip Irrigation Cyber-physical System with Remote Control


  • Yurii Klushyn




Autonomous watering, cyber-physical system, microcontroller, remote control, sensors


In today's reality, the pace of people's lives is much higher than it was 30 years ago and it is still growing. At the same time, the amount of information is also growing. This information should be processed constantly, daily, as soon as it is received. Production volumes are not also standing still. Such a lively pace of life requires process consistency and continuity and these processes must be provided by a man.

This article describes the system of watering which should automate the process of growing plants. Also, the analysis of a new branch, that is cyber-physical systems, is carried out. The analysis of modern systems of autonomous irrigation, principles of their construction and organization of their work is conducted. A method of implementing a system that provides the possibility of constant monitoring of the growing environment and provides an opportunity to influence it is suggested. The choice of components for system construction is made. The algorithm of the system operation is described. An analysis of the relationship between system components and the user's relationship with the system is performed.


V. Vanko, “Principles of cyber-physical systems construction for the needs of crops cultivation,” Advances in Cyber-Physical Systems, pp. 32–37, 2017. https://doi.org/10.23939/acps2017.01.032.

S. Ying, D. Corman, “Foundations for innovation in cyber-physical systems,” p. 9, 2013. [Online]. Available at: https://www.nist.gov/system/files/documents/el/CPS-WorkshopReport-1-30-13-Final.pdf.

O. Hancu, V. Maties, R. Balan, S. Stan, “Mechatronic approach for design and control of a hydraulic 3-dof parallel robot,” IEEE Computer, vol. 50, no. 3, pp. 525–536, 2017. https://doi.org/10.2507/daaam.scibook.2007.46.

W. Wolf, “The good news and the bad news embedded computing column,” IEEE Computer, vol. 40, issue 11, pp. 104–105, 2017. https://doi.org/10.1109/MC.2007.404.

K. Adams, “Bridging the cyber, physical, and social worlds,” Proceedings of the International Conference on Cyber-Physical Systems, 2019, pp. 12–19.

M. Mykyychuk, B. Stadnyk, S. Yatshyshyn, Y. Lutsyk, “Measuring smart means for cyber-physical systems,” pp. 3–16, 2017. [Online]. Available at: http://science.lpnu.ua/istcmtm/all-volumes-and-issues/volume-77-2016/smart-measuring-instruments-cyber-physical-systems.

C. Alippi, “Intelligence for embedded systems,” In: Intelligence for Embedded Systems. Springer, Cham, 2018, pp. 159-210. https://doi.org/10.1007/978-3-319-05278-6.

W. Boulevard, Cyber-physical systems. Program Announcements & Information,” The National Science Foundation, pp. 10–16, 2018.

R. Ciprian-Radu, H. Olimpiu, T. Ioana-Alexandra, O. Gheorghe, “Smart monitoring of potato crop: A cyber-physical system architecture model in the field of precision agriculture,” Procedia, pp. 73–79, 2017.

Remontu.ua, “Types and methods of watering plants in greenhouses”, 2020. [Online]. Available at: https://remontu.com.ua/vidi-i-sposobi-polivu-roslin-v-teplicyax.

AquaPrise, “List of equipment manufacturers,” 2021. [Online]. Available at: https://www.aquaprice.com.ua/ua/brands/

Y. Ibrashev, “Indoor plant watering automation,” Electrical Equipment and Electrical, Technologies in Agriculture, pp. 60–63, 2017.

P. Leijdekkers, “Personal heart monitoring and rehabilitation system using smart phones,” Proceedings of the International Conference on Mobile Business, 2019, pp. 1–7.

L. Lii Shi, P. Cheng, J. Chen, D. E. Quevedo, “Attacks interfering with remote state estimation in cyber-physical systems: A game-theoretic approach,” IEEE Trans. Machine. Control, vol. 60, pp. 2831–2836, 2015. https://doi.org/10.1109/TAC.2015.2461851.

O. Osanaye, A. Alpha, G. Hanke, “A statistical approach to jamming detection in wireless sensor networks,” Sensors, vol. 18, 1691, 2018. https://doi.org/10.3390/s18061691.

R. Taormina, S. Galelli, N. O. Tippenhower, E. Salomons, A. Ostfeld, “Characteristics of cyber-physical attacks on water distribution systems,” J. Water resource. Plan. Office, vol. 143, 04017009, 2017. https://ascelibrary.org/doi/10.1061/%28ASCE%29WR.1943-5452.0000749.

B. Kerkez, K. Gruden, M. Lewis, L. Montestruc, M. Quigley, B. Wong, A. Bedig, R. Kertes, T. Brown, O. Cadwalader, et al., “Smart storm systems,” Environment. Scientific Technol, vol. 50, pp. 7267–7273, 2016. https://doi.org/10.1021/acs.est.5b05870.

H. M. Javad, R. Nordin, S. K. Gargan, A. M. Javad, M. Ismail, “Energy efficient wireless sensor networks for precision farming: A review,” Sensors, 17, 1781, 2017. https://doi.org/10.3390/s17081781.

J. Mengual, et al, “Designing WSS for smart citrus irrigation with fault-tolerant and energy-saving algorithms,” Network Protocol Algorithms, vol. 10, pp. 95–115, 2018. https://doi.org/10.5296/npa.v10i2.13205.

Z. Hong, Z. Kalbarchik, R. K. Ayer, “Using a wireless sensor network and machine learning methods,” Proceedings of the 2016 IEEE International Conference on Smart Computing (SMARTCOMP), St. Louis, MO, USA, May 18-20, 2016.

A. Daccache, J. W. Knox, E. K. Weatherhead, A. Daneshkhah, T. M. Hess, “Implementing precision irrigation in a humid climate—Recent experiences and on-going challenges,” Agric. Water Manag, vol. 147, pp. 135–143, 2014. https://doi.org/10.1016/j.agwat.2014.05.018.

M. S. Munir, I. S. Bajwa, S. M. Chima, “Intelligent and safe intelligent irrigation system using fuzzy logic and blockchain,” Comput. Electr. English, vol. 77, pp. 109–119, 2019. https://doi.org/10.1016/j.compeleceng.2019.05.006.

G. Tripathi, S. Zafar, F. Dodja, “Aspects of IoT data management and information communication security in IoT systems,” Prince. Internet of Things (IoT) ecosystem. insight paradigm, vol. 174, pp. 439–464, 2020.

K. Sun, V. Puig, G. Chembrano, “Real-time control of the urban water cycle within cyber-physical systems,” Water, vol. 12, 406, pp. 1-17, 2020. https://doi.org/10.3390/w12020406.

L. Jiménez, A. Jimenez, P. Cardenas, “A cyber-physical intelligent agent for irrigation scheduling in horticultural crops,” Computers and Electronics in Agriculture, vol. 178, issue 10, 2020. https://doi.org/10.1016/j.compag.2020.105777.

A. Gritsyk, Yu. Klushin, “Cyber-physical irrigation system with remote control,” Computer Systems and Networks, vol. 3, issue1, pp. 38-46, 2021. https://doi.org/10.23939/csn2021.01.001.

Y. Zhang, H. Cho, H. Wu, “Applying big data to crop selection mining,” IEEE Access, vol. 7, pp. 116965–116974, 2019. https://doi.org/10.1109/ACCESS.2019.2935564.

A. A. Okine, M. O. Appiah, I. Ahmad, B. Asante-Badu, B. B. Uzoejinwa, "Design of a green automated wireless system for optimal irrigation," International Journal of Computer Network and Information Security (IJCNIS), vol. 12, no.3, pp. 22-32, 2020. https://doi.org/10.5815/ijcnis.2020.03.03.




How to Cite

Klushyn, Y. (2023). Drip Irrigation Cyber-physical System with Remote Control. International Journal of Computing, 22(2), 254-261. https://doi.org/10.47839/ijc.22.2.3096