Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{201363,
author = {Arathy S and Sujithra G},
title = {Intelligent Watering System},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {no},
pages = {72-75},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=201363},
abstract = {Water scarcity and inefficient irrigation practices present major challenges in modern agriculture, often leading to excessive water consumption and reduced crop productivity. Conventional irrigation systems rely on manual operation or fixed schedules, which can result in over- or under-irrigation. To overcome these limitations, this project proposes an Intelligent Watering System that automates irrigation using real-time environmental data through Internet of Things (IoT) technology. The system employs soil moisture sensors to continuously monitor soil conditions. The proposed system is cost-effective, energy-efficient, and easy to implement, making it suitable for home gardens, greenhouses, and small-scale farms. By minimizing water wastage, energy consumption, and manual labor, it promotes sustainable agriculture and efficient water resource management.},
keywords = {Raspberry pi pico w, Relay module, soil moisture sensor, water pump.},
month = {May},
}
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