Integrated Solar-Powered Smart Aeration and Waste Management System for Sustainable Pond Ecosystem

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Harshal T. Ghatole
Amit M. Dodke
Anushri A. Nagrale
Akanksha M. Patil
Bhuneshwari N. Tirpude
Anjali U. Dolaskar

Abstract

Pond ecosystems in rural and aquaculture environments encounter persistent issues such as reduced water quality, low dissolved oxygen (DO) levels, and surface waste accumulation. Conventional diesel-powered aeration and manual cleaning methods remain expensive and environmentally harmful, creating the need for sustainable and intelligent alternatives. This study focuses on the concept of an Integrated Solar‑Powered Smart Aeration and Waste Management System with IoT‑Based Monitoring designed for sustainable pond ecosystems. The system incorporates a solar-driven paddlewheel aerator for improved oxygenation and an IoT‑enabled waste control unit for surface debris management. IoT sensors continuously monitor key water quality parameters such as DO, pH, temperature, and turbidity, transmitting real‑time data to a cloud‑based dashboard for control and analysis. The design approach includes both simulation and preliminary hardware studies to examine system behavior, energy performance, and data acquisition efficiency under various operating conditions. Current research and experimental trends reveal that synchronization between solar‑powered aeration and IoT‑based waste management remains limited, and energy optimization frameworks suitable for off‑grid rural ponds are underexplored. Addressing these research gaps is essential for developing cost‑effective, eco‑friendly, and self‑sustaining smart pond systems that support long‑term aquaculture and environmental resilience.

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How to Cite
Ghatole, H. T., Dodke, A. M., Nagrale, A. A., Patil, A. M., Tirpude, B. N., & Dolaskar, A. U. (2025). Integrated Solar-Powered Smart Aeration and Waste Management System for Sustainable Pond Ecosystem . International Journal on Advanced Computer Engineering and Communication Technology, 14(3s), 66–71. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/1597
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