Smart solar-powered hydroponic system based on artificial intelligence as a replicable model for sustainable food development in vulnerable communities (#2757)

Authors

Puelles Bulnes, Maria Elizabeth

Delgadillo Avila, Rosa Sumactika

Aguilar Alonso, Igor

Inche Mitma, Jorge Luis

Atoche Espinoza, Vicente Augustin

Puelles Atoche, Angie Lissette

Abstract

This study presents the design and implementation of a compact NFT hydroponic system, integrated with solar photovoltaic energy and IoT-based intelligent control. The objective was to evaluate the technical feasibility of a replicable model for domestic environments and vulnerable communities in Latin America. A key feature of the system is the integration of an intelligent communication interface that acts as a proactive crop health monitor, translating complex variables into simplifi ed user alerts. The results demonstrate superior water effi ciency, with a 72.2% reduction in water consumption compared to traditional manual irrigation. The Raspberry Pi-based control system ensured the stability of physicochemical parameters (pH, temperature, and conductivity), reducing manual intervention by 50% to 60%. It is concluded that energy autonomy, combined with intuitive communication, strengthens urban food sovereignty by enabling effi cient production without requiring advanced technical expertise.