Smart Solar-Powered IoT-Based Automatic Irrigation System with Integrated Rainwater Harvesting
Y. Angel *
Department of Horticulture, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
Somagutta Sreekar
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
A. Mani Prakash
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
P. Nagarajan
Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
R. Bharath karuppasamy
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
Duggi Akash
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
K. Ajay
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Virudhunagar, Tamil Nadu, India.
*Author to whom correspondence should be addressed.
Abstract
This paper introduces an IoT-based, solar-powered automated irrigation system that incorporates a rainwater harvesting feature, designed for garden applications. To enhance water efficiency and ensure precise irrigation, the system utilizes temperature sensors, soil moisture sensors, and real-time weather data. Collected rainwater is stored in tanks and distributed automatically based on soil moisture levels, reducing water waste and minimizing dependence on external water sources. Powered by solar panels, the system is both cost-effective and environmentally friendly, providing independent and sustainable energy. The integration of the Internet of Things allows users to adjust irrigation schedules and monitor system performance remotely via a smartphone app. Cloud-based dashboards provide detailed insights into performance and usage trends, while the system's edge computing capabilities enable quick response times and efficient data processing. By combining predictive analytics, water recycling, and renewable energy, the system optimizes water usage, improves plant health, and promotes sustainable gardening practices. While the system offers significant savings in water and energy, challenges such as high initial costs, sensor calibration requirements, and unpredictable weather need to be addressed for broader adoption and long-term success. This study showcases how the combination of solar power, rainwater collection, and intelligent automation can create a highly efficient and environmentally responsible irrigation system for both commercial and residential gardens.
Keywords: IoT (internet of things), automatic irrigation system, rainwater harvesting, solar-powered irrigation system, automated irrigation