Review on Automatic Irrigation System

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 17 | 02 | Page :
    By

    Vikas Arjun,

  • Mahesh Khandekar,

  • Rushikesh Magar,

  • S.K. Godase,

  1. UG students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  2. UG students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  3. UG students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  4. Assistant Professor, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India

Abstract

The Automatic Irrigation System is a contemporary technological innovation aimed at improving water efficiency in farming and landscaping uses. This system guarantees that water reaches plants according to real-time data including soil moisture, weather conditions, and set irrigation schedules by combining sensors, microcontrollers, and automated valves or pumps. The main objective of an automated irrigation system is to increase water efficiency, decrease waste, and boost crop production while limiting human involvement. This setup generally comprises elements like soil moisture sensors, weather monitoring stations, and a main controller such as an Arduino Uno or programmable logic controller, in addition to irrigation equipment (sprinklers, drip lines, or valves). The sensors assess soil conditions and environmental elements, sending data to the controller, which analyses the information and initiates the suitable irrigation response. Furthermore, IOT-driven solutions are progressively integrated into automated irrigation systems, enabling remote supervision and management through mobile applications or online platforms. Additionally, the system aids in preserving water resources, which is vital in areas experiencing water shortages. It lowers labor expenses by automating the irrigation system and removes the risks of overwatering or underwatering. The system can be set to function at designated times, guaranteeing effective irrigation even when the user is not present. It encourages sustainable farming methods by preserving optimal soil quality. Enhanced models might incorporate data recording capabilities for performance evaluation and future enhancements. In general, the system boosts efficiency while promoting eco-friendly agricultural practices.

Keywords: Water Conservation, Internet of Things (IOT), Arduino Microcontroller, Smart Irrigation, and Soil Moisture Sensing

How to cite this article:
Vikas Arjun, Mahesh Khandekar, Rushikesh Magar, S.K. Godase. Review on Automatic Irrigation System. Journal of Control & Instrumentation. 2026; 17(02):-.
How to cite this URL:
Vikas Arjun, Mahesh Khandekar, Rushikesh Magar, S.K. Godase. Review on Automatic Irrigation System. Journal of Control & Instrumentation. 2026; 17(02):-. Available from: https://journals.stmjournals.com/joci/article=2026/view=248412


References

  1. Zheng Y, Jiang Z, Kozlov OV, Kondratenko YP. Fuzzy automatic control of the irrigation process for the IoT-based smart farming systems. Journal of Ambient Intelligence and Smart Environments. 2024 Sep 24;16(3):337-63.
  2. Dong Y, Werling B, Cao Z, Li G. Implementation of an in-field IoT system for precision irrigation management. Frontiers in Water. 2024 Feb 15;6:1353597.
  3. BP UR, Sattar KN, Elngar AA. A smart irrigation system using the IoT and advanced machine learning model. Journal of Smart Internet of Things. 2024 Dec;2024(2):13-25.
  4. Jaiswal N, Kumar TV, Shukla C. Smart drip irrigation systems using IoT: a review of architectures, machine learning models, and emerging trends. Discover Agriculture. 2025 Dec;3(1):253.
  5. Balamurali D, Chakankar S, Sharma G, Pagey AP, Natarajan M, Shaik S, Gnanavendan S, Arıcı M. A solar- powered, internet of things (IoT)-controlled water irrigation system supported by rainfall forecasts utilizing aerosols: a review. Environment, Development and Sustainability. 2025 Jan 16:1-40.
  6. Kunt YE. Development of a smart autonomous irrigation system using IoT and AI. arXiv preprint arXiv:2506.11835. 2025 Jun 13.
  7. Okner M, Veksler D. Automated Water Irrigation System. arXiv preprint arXiv:2501.10610. 2025 Jan 17.
  8. Zhang H, Li M. Towards an intelligent and automatic irrigation system based on internet of things with authentication feature in VANET. Journal of Information Security and Applications. 2025 Feb 1;88:103927.
  9. Wang Q, Jia Y, Pang Z, Zhou J, Scriber II KE, Liang B, Chen Z. Intelligent fertigation improves tomato yield and quality and water and nutrient use efficiency in solar greenhouse production. Agricultural Water Management. 2024 Jun 1;298:108873.
  10. Sen L, Verma I, Joshi S, Singh P. A survey on IoT-based smart farming systems for automated irrigation and real-time soil monitoring. International Journal of Engineering Research & Technology (IJERT). 2025 Jul;13(06):45-56.
  11. Wang C, Gong J. Intelligent agricultural greenhouse control system based on internet of things and machine learning. arXiv preprint arXiv:2402.09488. 2024 Feb 14.
  12. Mulani AO, Mane PB. Watermarking and cryptography based image authentication on reconfigurable platform. Bulletin of Electrical Engineering and Informatics. 2017 Jun 1;6(2):181-7.
  13. Gadade B, Mulani AO, Harale AD. IoT Based Smart School Bus and Student Tracking System. AZwH «$‘{UH $ m. 2024 Jun.
  14. Sumukh AV, Nagarathna S, Nanda S. Bluetooth Controlled Robot with Real-Time Obstacle Detection and Live Video Feedback. In2025 International Conference on Emerging Technologies in Electronics and Green Energy (ICETEG) 2025 Oct 10 (pp. 1-6). IEEE.
  15. Vaishnavi S, Preetii N, Shweta P, Godase SK. A Systematic Review-Sugarcane Disease Prediction. health. 2025 Oct;5(4).
  16. Pise AC. An IoT Based Real Time Monitoring of Agricultural and Micro irrigation system. International journal of scientific research in Engineering and management (IJSREM). 2022 Apr;6(04).
  17. Pise AC, Karande KJ. K-mean energy efficient optimal cluster based routing protocol in vehicular ad- hoc networks. InModern Approaches in Machine Learning and Cognitive Science: A Walkthrough: Volume 4 2024 Jan 14 (pp. 305-313). Cham: Springer International Publishing.
  18. Godase V. Smart energy management in manufacturing plants using PLC and SCADA. Advance Research in Power Electronics and Devices. 2025 May 8;2(2):14-24.
  19. Godase V. IoT-MCU Integrated Framework for Field Pond Surveillance and Water Resource Optimization. International Journal of Emerging IoT Technologies in Smart Electronics and Communication. 2025 Jan 18;1(1):9-19.
Ahead of Print Subscription Review Article
Volume 17
02
Received 17/06/2026
Accepted 30/06/2026
Published 01/07/2026
Publication Time 14 Days
1

Login


My IP

PlumX Metrics