Imperative Role of Automation and Wireless Technologies in Aquaponics Farming

Table 2

Previous IoT-based platform for aquaponics.

Research	Objective	Advantage	Disadvantage
[53]	Automated aquaponics system to sense of pH, level, and temperature	Cloud server implemented to visualize the sensor data	Intel Edison microcontroller integrated is expensive
[54]	Automatic control of the aquaponics system using an ML algorithm	Edge computing is utilized to identify the parameter for the growth of plant and fishes	The proposed model is implemented in small scale, where the performance of system is skeptical
[55]	To control and monitor water quality and environmental parameters	Solar-based power supply for powering the nodes	Implementation of Wi-Fi in the sensor node increases the power consumption and also requires additional infrastructure for working on Internet
[56]	Remote monitoring systems using TDS sensor	Calibration of TDS sensors is carried out	Cloud server is missing in the IoT-based system
[57]	Optimizing nutrient supply using ML	Raspberry Pi is interfaced with Vernier sensors for the measurement of nutrients	No information available about data transmission and data storage