Development of solar water quality monitoring system with IoT for fish farming

Mohammad Raffee, Muhammad Uwais (2023) Development of solar water quality monitoring system with IoT for fish farming. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, solar is one of the most attractive renewable energies to use at home, the office, or other places and items that require electricity. This project is purposely designed to implement the solar water quality monitoring system with IoT for fish farming using solar panels as the main supply. Secondly, to fabricate the water quality monitoring system using an ESP32, IoT, and several types of sensors, which are pH sensors, temperature sensors, and TDS sensors. Lastly, the performance of the solar water quality monitoring system with IoT for fish farming will be analyzed using data measurements. This device will be used to collect water quality data for fish farming, and this device will also use solar panels to promote sustainability and cost-efficiency, with the potential to revolutionize aquaculture operations and pave the path for future advances in automated procedures based on real-time data insights. The data collected from these water samples is then analyzed using data and an accurate meter. Based on the previous result, the pH reading for good conditions for fish is 6.5 to 8.5. Meanwhile, the temperature readings should be from 25 °C to 32 °C, and the TDS readings should be from 0 PPM to 1000 PPM.

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