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IoT-Based Home Automation: Augmented Reality Enabled Plant Watering System


Authors : Mohammed Imran Ali; Male Lokesh Reddy; Mohammed Burhanuddin; B. Adithya Reddy; S. M. K. M. Abbas Ahmad

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/322xrdjv

Scribd : https://tinyurl.com/2t25pjer

DOI : https://doi.org/10.38124/ijisrt/26apr186

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : The integration of Augmented Reality (AR) with the Internet of Things (IoT) represents a paradigm shift in home automation and indoor gardening. This research presents a comprehensive implementation of an AR-enabled Plant Watering System. By leveraging the NodeMCU ESP8266 microcontroller for data acquisition and the Unity/Vuforia engine for visualization, the system bridges the gap between raw sensor data and an intuitive user experience. Experimental results confirm a sensor accuracy of ±2°C for temperature and ±3% for soil moisture, achieving a 98% system uptime. This paper details the hardware-software synergy that allows users to interact with their biological environment through a sophisticated digital twin interface.

Keywords : Internet of Things (IoT), Augmented Reality (AR), NodeMCU ESP8266, DHT11, Precision Irrigation, Unity Hub, Vuforia, ThingSpeak, Cloud Analytics, Raspberry Pi, Smart Cities.

References :

  1. M. Krishnan and R. A. Kadir, "Smart IoT agricultural kit for precision farming," Politeknik & Kolej Komuniti Journal of Engineering and Technology, vol. 4, no. 1, pp. 82–90, 2019.
  2. N. K. Ningrum, I. U. W. Mulyono, K. Widyatmoko, A. Susanto, Z. Umami, Y. Kusumawati, and Sudaryanto, "Automatic watering system based on IoT-based plant soil moisture on lime plants," in ICCSET Proceeding (International Conference on Computer Science, Electronics and Telecommunications), vol. 2, no. 1, Nov. 2023, pp. 101–112.
  3. K. Shah, S. Pawar, G. Prajapati, S. Upadhyay, and G. Hegde, "Proposed automated plant watering system using IoT," in SSRN Electronic Journal, Jan. 2019.
  4. A. A. A. Halim, R. Mohamad, F. Y. A. Rahman, H. Harun, and N. M. Anas, "IoT-based smart irrigation, control, and monitoring system for chilli plants using NodeMCU-ESP8266," Bulletin of Electrical Engineering and Informatics, vol. 12, no. 5, pp. 3053–3060, Oct. 2023.
  5. B. Uretir, "Automatic irrigation system using soil moisture sensor," M.S. thesis, Mugla Sitki Kocman University, Mugla, Turkey, 2022.
  6. C. Navaneethan and S. Meenatchi, "Water level monitoring using Blynk application in IoT," International Journal of Recent Technology and Engineering (IJRTE), vol. 8, no. 4, pp. 1676–1679, Nov. 2019.
  7. A. Rizzardi, S. Sicari, and A. Coen-Porisini, "Towards rapid modeling and prototyping of indoor and outdoor monitoring applications," Sustainable Computing: Informatics and Systems, vol. 41, p. 100951, 2024.
  8. F. O. Olamide et al., "Fundamentals of irrigation methods and their impact on crop production," Irrigation and Drainage - Recent Advances, Jan. 2023, doi: 10.5772/intechopen.105501.
  9. A. Reghukumar and V. Vijayakumar, "Smart plant watering with cloud analysis and plant health prediction," in Proceedings of the International Conference on Smart Systems and Inventive Technology (ICSSIT), 2021.
  10. T. Talaviya, D. Shah, N. Patel, H. Yagnik, and M. Shah, "Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides," Artificial Intelligence in Agriculture, vol. 4, pp. 58–73, 2020.

The integration of Augmented Reality (AR) with the Internet of Things (IoT) represents a paradigm shift in home automation and indoor gardening. This research presents a comprehensive implementation of an AR-enabled Plant Watering System. By leveraging the NodeMCU ESP8266 microcontroller for data acquisition and the Unity/Vuforia engine for visualization, the system bridges the gap between raw sensor data and an intuitive user experience. Experimental results confirm a sensor accuracy of ±2°C for temperature and ±3% for soil moisture, achieving a 98% system uptime. This paper details the hardware-software synergy that allows users to interact with their biological environment through a sophisticated digital twin interface.

Keywords : Internet of Things (IoT), Augmented Reality (AR), NodeMCU ESP8266, DHT11, Precision Irrigation, Unity Hub, Vuforia, ThingSpeak, Cloud Analytics, Raspberry Pi, Smart Cities.

Paper Submission Last Date
30 - April - 2026

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