Autonomous Village Water Supply System Integrating Robotics, IoT, and AI for Sustainable Food Security and Carbon-Neutral Development

Abstract

Access to reliable water supply is critical for rural livelihoods, agricultural productivity, and environmental sustainability. This study proposes and validates an autonomous water supply system for Errabu Village, Bluto Subdistrict, Sumenep Regency, Indonesia, combining robotic infrastructure, Internet of Things (IoT) sensing, and artificial intelligence (AI) control. The integrated platform automates water collection, purification, storage, and distribution to support local food self?sufficiency, green energy adoption, zero?emission targets, and carbon footprint reduction. A field pilot over six months demonstrated 24/7 remote monitoring, 18% reduction in operational energy use through AI?optimized pumping schedules, and 12% improvement in water distribution efficiency. These results reinforce rural economic resilience, environmental preservation, and national sustainability goals. Findings highlight potential scalability and inform policy frameworks for rural water autonomy.