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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

SMART AUTOMATED PLANT WATERING SYSTEM USING IOT AND AI

Dharunkumar U C Jagan S

Dr. B. Azhagusundari

Department of Computer Science with AI & ML, NGM College, Pollachi – 642001
DOI:https://doi.org/10.55041/ijcope.v2i4.429

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

This paper presents a Smart Automated Plant Watering System that integrates Internet of Things (IoT) and Artificial Intelligence (AI) technologies to improve irrigation efficiency and plant care. The system utilizes soil moisture, temperature, and humidity sensors to continuously monitor environmental conditions and determine the water requirements of plants. An ESP8266-based microcontroller processes the collected data and applies fuzzy logic to make intelligent decisions for automatic irrigation.


Unlike traditional watering methods that rely on manual operation or fixed schedules, the proposed system dynamically adjusts water supply based on real-time conditions, thereby reducing water wastage and preventing overwatering or underwatering. The system also incorporates predictive analysis and anomaly detection to enhance reliability and performance. Additionally, real-time monitoring is enabled through a web-based interface, and notifications can be sent to users when necessary.


The proposed solution is cost-effective, reliable, and easy to implement, making it suitable for agriculture, home gardening, and greenhouse environments. It demonstrates how the integration of IoT and AI can improve irrigation systems by providing accurate monitoring, efficient water usage, and intelligent automation.

How to Cite this Paper

C, D. U. & S, J. (2026). Smart Automated Plant Watering System using IOT and AI. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.429

C, Dharunkumar, and Jagan S. "Smart Automated Plant Watering System using IOT and AI." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.429.

C, Dharunkumar, and Jagan S. "Smart Automated Plant Watering System using IOT and AI." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.429.

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References


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  4. Ross, T. J., Fuzzy Logic with Engineering Applications, 3rd ed., Wiley, pp. 1–600, 2010.

  5. Arduino, “Arduino IDE and ESP8266 Development Environment Documentation,” Arduino Official Technical Documentation, 2021.

  6. Espressif Systems, “ESP8266 Wi-Fi Module Datasheet,” Espressif Systems Technical Documentation, pp. 1–50, 2020.

  7. Aosong Electronics, “DHT11 Temperature and Humidity Sensor Datasheet,” Aosong Technical Documentation, pp. 1–10, 2019.

  8. Soil Moisture Sensor Module, “Soil Moisture Sensor Datasheet,” Technical Documentation, 2018.

  9. Rosebrock, A., Practical Python and OpenCV, PyImageSearch Publications, pp. 1–300, 2016.

  10. Grinberg, M., Flask Web Development: Developing Web Applications with Python, O’Reilly Media, pp. 1–300, 2018.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Apr 16 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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