Design and Implementation of Solar Powered Dewatering Mining Operations

Abstract

Water scarcity and the push for sustainable farming demand irrigation systems that use water and energy more wisely. We developed a solar-powered smart watering system that automates irrigation with real-time sensor feedback, making it suitable for remote fields and home gardens that lack constant supervision. An ESP32 microcontroller orchestrates low-power sensors-DHT11(temperature / humidity), soil-moisture, rain, ultrasonic tank-level, and voltage-while a relay drives the pump. The system runs in two modes. Automatic mode compares live environmental readings with user-set thresholds and activates the pump only when needed. Manual mode lets growers override control through a Firebase-linked IoT app. A 16 × 2 I²C LCD, LEDs, and a buzzer provide on- site status and alerts. All electronics draw exclusively from a photovoltaic- battery pack, eliminating grid dependence. By coupling renewable energy, precise sensing, and cloud connectivity, the prototype reduces water waste, lowers labor requirements, and scales easily to diverse climates and crop types. The design offers a practical template for smart, resource- efficient agriculture.

Introduction

The text presents the design, development, and testing of a Solar-Powered Smart Watering System for sustainable, automated irrigation. Traditional irrigation methods often waste water and require constant human supervision, especially in off-grid or resource-limited settings. This system addresses these issues by integrating solar power, IoT sensors, and an ESP32 microcontroller to monitor environmental parameters—temperature, humidity, soil moisture, rainfall, and water tank levels—and automatically control a relay-operated water pump.

The system supports automatic mode, where irrigation decisions are made based on sensor thresholds, and manual mode, allowing remote operation via a Firebase-connected mobile app. Feedback is provided through an LCD, LED indicators, and a buzzer for critical alerts. Sensors are carefully calibrated, and thresholds for irrigation are optimized during a training phase. Testing over 14 days confirmed the system’s reliability, energy efficiency, and accurate performance under varying conditions, including rain simulation and low solar input.

The hardware prototype demonstrated robust off-grid operation, precise sensor measurements, fast pump actuation, and stable Wi-Fi connectivity. Overall, the system offers a cost-effective, scalable, and environmentally friendly solution for smart irrigation, suitable for home gardens, greenhouses, and small-scale farms, contributing to water conservation and improved agricultural productivity.

Conclusion

The hardware evaluation of the automated irrigation system demonstrates that it meets the design objectives of energy efficiency, measurement accuracy, and reliable operation in off-grid conditions. The low power consumption of the ESP32 and robust solar-battery power setup ensure sustained uptime even during cloudy periods. Sensor calibrations and actuator response times confirm precise environmental monitoring and timely control of irrigation. Additionally, reliable alert mechanisms and stable Wi-Fi connectivity enable effective remote management. These results validate the system as a practical solution for smart, sustainable irrigation in resource-constrained environments.

References

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Copyright

Copyright © 2026 Dr. R. Arulmurugan, Anu G, Aswini C, Hema S, Sivaranjani R. This 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.