This project presents the design and development of an Automated Underground Water Detection Robot based on the Wenner resistivity method. The system is designed to identify potential underground water sources by measuring the apparent resistivity of soil using four equally spaced electrodes. The readings obtained from the electrodes are processed through an Arduino-based circuit to determine variations in soil resistivity, which indicate the presence of water-bearing layers. The robot integrates mechanical mobility, electrical sensing, and automated data collection to ensure accurate and efficient field measurements.

The project aligns with the United Nations Sustainable Development Goals, particularly Goal 6 (Clean Water and Sanitation) and Goal 9 (Industry, Innovation and Infrastructure). Through this work, we aim to contribute to global water security and showcase how engineering innovation can address critical global challenges.

SDG 6: Clean Water & Sanitation

Ensuring access to safe water and sanitation for all. Our robot helps identify underground water resources for communities facing water scarcity.

SDG 9: Industry, Innovation & Infrastructure

Building resilient infrastructure and fostering innovation. This project demonstrates how robotics and technology advance infrastructure capabilities.