Iot-Integrated Aquaculture for Efficient Feeding and Water Monitoring (KEY IJP************356)

• Lavanya S,Harini Sri R

Abstract

This project proposes an innovative approach to managing aquatic habitats using iot-based solutions the system ensures uninterrupted supervision of water quality by leveraging digital environmental sensors that evaluate parameters such as pH levels temperature and turbidity a microcontroller-driven automatic feeding system delivers food at programmed intervals reducing both human intervention and overfeeding a smart alert mechanism is integrated to promptly inform caretakers when water metrics stray from healthy standards or when feed levels are critically low planned advancements include integrating solar energy for sustainable power consumption and deploying deep learning models like LSTM and GRU to forecast changes in aquatic conditions and identify atypical behavioural patterns in aquatic life through intelligent analytics and renewable energy use this system enables low-maintenance eco-friendly aquatic care and strengthens sustainable resource management practices.