Augmented Reality for Irrigation and Soil Moisture Detection

Year : 2025 | Volume : 12 | Issue : 01 | Page : 14-21
    By

    S. Rajkumar,

  • K. Sedhuraman,

  • N. Arun Kumar,

  1. Assistant Professor, Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
  2. Associate Professor, Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India
  3. Assistant Professor, Department of Electronics and Communication Engineering, Manakula Vinayagar Institute of Technology, Kalitheerthalkuppam, Puducherry, India

Abstract

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Everything starts with water as its fundamental material. Water waste results from overconsumption, and it happens in agricultural areas as well. We suggest augmented reality for soil moisture measurement and irrigation to solve this issue. The farmer may irrigate the field with this idea and save water. Using augmented reality glasses, the soil ‘s moisture content is identified and visualized. The newest technology in the current world is augmented reality. It is described as a blend of actual and virtual picture projection, interaction with real-time appearance, and the appearance of 3D figures of them. Technological progress allows more and more sensors to be manufactured on a microscopic scale as microsensors using MEMS (microelectromechanical systems) technology. In most cases, a microsensor reaches a significantly faster measurement time and higher sensitivity compared with macroscopic approaches. Due to the increasing demand for rapid, affordable and reliable information in today’s world, disposable sensors low-cost and easy‐to‐use devices for short‐term monitoring or single‐shot measurements have recently gained growing importance. Using this class of sensors, critical analytical information can be obtained by anyone, anywhere and at any time, without the need for recalibration and worrying about contamination.

Keywords: Microcontroller, water, sensors, automated watering system, microelectromechanical systems (MEMS) technology, Global System for Mobile Communications (GSM) module

[This article belongs to Journal of Microcontroller Engineering and Applications ]

How to cite this article:
S. Rajkumar, K. Sedhuraman, N. Arun Kumar. Augmented Reality for Irrigation and Soil Moisture Detection. Journal of Microcontroller Engineering and Applications. 2025; 12(01):14-21.
How to cite this URL:
S. Rajkumar, K. Sedhuraman, N. Arun Kumar. Augmented Reality for Irrigation and Soil Moisture Detection. Journal of Microcontroller Engineering and Applications. 2025; 12(01):14-21. Available from: https://journals.stmjournals.com/jomea/article=2025/view=0



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References

1. Huang W, Zeng T, Ye L, Li Z. A self-acting water pump control system for residential buildings based on resonance water level sensor. In: 2011 International Conference on Electric Information and Control Engineering, Wuhan, China, April 15–17, 2011. pp. 1112–1115. doi: 10.1109/ICEICE.2011.5777277.
2. Umair SM, Usman R. Automation of irrigation system using ANN based controller. Int J Electric Computer Sci. 2010; 10 (2): 45–51.
3. Rajkumar S, Sundaram CS, Sedhuraman K, Muruganandhan D. Performance analysis of hub BLDC motor using finite element analysis. In: 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, March 29–30, 2019. pp. 1–5. doi: 10.1109/ICSCAN.2019.8878745.
4. Rajkumar S, Sedhuraman K, Muruganandhan D. Thermal analysis and torque ripple minimization in switched reluctance motor with nickel-ferrite material. In: 2018 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, July 6–7, 2018. pp. 1–4. doi: 10.1109/ICSCAN.2018.8541200.
5. Rehman AU, Asif RM, Tariq R, Javed A. GSM based solar automatic irrigation system using moisture, temperature and humidity sensors. In: 2017 International Conference on Engineering Technology and Technopreneurship (ICE2T), Kuala Lumpur, Malaysia, September 18–20, 2017. pp. 1–4. doi: 10.1109/ICE2T.2017.8215945.
6. Sedhuraman K, Venkadesan A, Dhivagar K, Mugesh M. Performance evaluation of smart intelligent circuit breaker. In: 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN), Pondicherry, India, March 29–30, 2019. pp. 1–4. doi: 10.1109/ICSCAN.2019.8878689.
7. Durai CRB, Vipulan B, Khan TA, Prakash TSR. Solar powered automatic irrigation system. In: 2018 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India, February 22–23, 2018. pp. 139–142. doi: 10.1109/ICPECTS.2018.8521604.
8. Eason G, Noble B, Sneddon IN. On certain integrals of Lipschitz-Hankel type involving products of Bessel functions. Phil. Trans. Roy. Soc. 1955; A247: 529–551.
9. Yorozu Y, Hirano M, Oka K, Tagawa Y. Electron spectroscopy studies on magneto-optical media and plastic substrate interface. IEEE Transl J Magn Japan. 1987; 2 (8): 740–741.
10. Gupta A, Krishna V, Gupta S, Aggarwal J. Android based solar powered automatic irrigation system. Indian J Sci Technol. 2016; 9 (47): 2–7.
11. Barman A, Neogi B, Pal S. Solar-powered automated IoT-based drip irrigation system. In: Pattnaik P, Kumar R, Pal S, Panda S, editors. IoT and Analytics for Agriculture. Singapore: Springer; 2020. pp. 27–49.

Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 10/01/2025
Accepted 16/01/2025
Published 28/01/2025
Publication Time 18 Days
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