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Development of an IoT-Enhanced, Solar-Powered Aquaponics Monitoring and Control System for Sustainable Agriculture
MAX78000 Feather Board

This project aims to develop an advanced Internet of Things (IoT)-based monitoring and control system for aquaponics, a sustainable farming method that combines aquaculture and hydroponics. The system will utilize a network of sensors to continuously monitor critical water parameters such as temperature, pH, dissolved oxygen, electrical conductivity (EC), and salinity, which are essential for maintaining the delicate balance required for the coexistence of aquatic organisms and plants.

The IoT framework will be designed to collect real-time data from various sensors and transmit it to a centralized control unit via a using LoRaWAN (Long Range Wide Area Network). This control unit will be integrated with a esp32 equipped with machine learning algorithms for predictive analytics and disease detection. The algorithms will analyze the collected data to predict potential fluctuations and anomalies in water quality, enabling proactive adjustments to maintain optimal growing conditions.

To further enhance the sustainability of the aquaponics system, solar photovoltaic (PV) panels will be employed to power the entire IoT infrastructure, including sensors, microcontrollers, and wireless communication modules. An energy management module will be incorporated to optimize the use of solar power, ensuring uninterrupted operation and reducing reliance on conventional energy sources.

The system will feature an intuitive user interface accessible via mobile app, allowing users to remotely monitor and control the aquaponics system. Real-time alerts and notifications will be generated based on predefined thresholds, enabling prompt intervention when necessary. Additionally, the integration of cloud storage and computing services will provide long-term data logging and advanced analytics capabilities, facilitating continuous improvement in aquaponics operations.

By leveraging IoT technology and solar power, this project aims to automate the monitoring and regulation of aquaponics systems, thereby enhancing productivity, minimizing environmental impact, and promoting sustainable agriculture practices.

Kamal Jeyaram T
Anushree N