IoT - Based water quality monitoring system for fishery

Salim, Mohd Syahmi (2021) IoT - Based water quality monitoring system for fishery. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Water plays a significant role include hydration, agriculture, electricity, and aquaculture use. Water quality is an important aspect of fish farming production. Poor water quality led to slow fish growth and result in fish death. Fishpond water quality monitoring could be hassle and time consuming which requires breeders to obtain their own water samples and test it using special meters. The IoT-based system is proposed to assist fish breeders in monitoring the fishponds water and alert them about poor water quality conditions. The system consists of Raspberry Pi, pH sensor, and temperature sensor. A pH sensor is used to detect the pH of the water while a temperature sensor is used to detect the water temperature of fishponds, Raspberry Pi is a microprocessor that processes these water parameter readings. This system uses Wi-Fi for the data transmission process as it uses the built-in Wi-Fi module on the Raspberry Pi, fish breeders can perform monitoring via mobile apps on their android smartphones. If the pH and temperature values exceed the set action levels, fish breeders will get alert notifications from mobile apps. This will help breeders to carry out the process of maintaining the fishpond. The results are collected through testing, and the system's efficacy judgments are drawn from the findings for which sensor readings could be performed with a moderate degree and notification alerts functioned with excellent response.

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