| Issue |
EPJ Web Conf.
Volume 341, 2025
2nd International Conference on Advent Trends in Computational Intelligence and Communication Technologies (ICATCICT 2025)
|
|
|---|---|---|
| Article Number | 01034 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/epjconf/202534101034 | |
| Published online | 20 November 2025 | |
https://doi.org/10.1051/epjconf/202534101034
IoT-Enabled Smart Irrigation System for Efficient Water and Nutrient Management
1 HVPM’S COET, Department of Computer Science and Engineering, India
2 HVPM’S COET, Department of Computer Science and Engineering, India
Published online: 20 November 2025
Abstract
Objective of the study to find out irrigation management in conserving the water resources with irrigation system to increase crop productivity. In this paper, this has designed and implemented an IoT-based smart irrigation system using soil moisture, pH, and NPK sensors for remote monitoring and control of soil parameters, by interfacing them with the NodeMCU ESP8266 microcontroller. The output values obtained from the sensors were displayed using an LCD and values were then sent to a cloud server for remote access. Research also interfaced a relay module with a water pump to water the plants automatically when moisture content is lower than a set threshold. The results indicate that the soil moisture sensor's values, NPK sensors and pH sensor are well correlated with the lab values with an error of less than 3%, 5% and 2% respectively. The comparison of the results with the manual practice of irrigation demonstrated a considerable difference in the water and fertilizer consumption with the implementation of IoT assistance in the irrigation system. Therefore, this study confirms that the proposed model is precise, accurate, cost-efficient, and easily scalable for practical applications in smart agriculture by eliminating wastage and real-time monitoring of required inputs.
Key words: IoT-based irrigation / Smart farming / Soil moisture sensor / NPK monitoring, / NodeMCU ESP8266
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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