Sustainable Smart Aquaponics Farming Using IoT and Data Analytics

Abstract

Traditional agriculture is facing numerous serious issues such as climate variation, population rise, water scarcity, soil degradation, and food security and many more. Though, Aquaponics is a promising solution, research on building an economically feasible smart Aquaponics system is still a challenge. In this paper, a sustainable smart Aquaponics system using Internet of Things (IOT) and Data Analytics is proposed. The acquired data from sensors such as Ph sensor, and temperature sensor, is analyzed using machine learning techniques to interpret the health of the system. Further, the proposed system includes automated fish feeder which is controlled by Raspberry Pi to automate and reduce the maintenance issues. The android application helps the user to remotely control and monitor the health of the system and also track the critical system parameters. Further the system is driven by the solar power to make it sustainable. A comprehensive survey on the key aspects of Aquaponics including comparison of the proposed model with the traditional aquaponics model is also presented.

Water waste Management Technique in Self-Sustainable Indoor Aquaponics System

“…The sensors collect the data for one hour once with the help of a microcontroller send it to the cloud and store it with the help of a WIFI module ESP8266. The Raspberry Pi3 is a microprocessor that is used to execute the machine learning model by fetching data from the cloud, executing it, and controlling it [12]. It initiates the actuators such as the servo motor for the fish feeder, water pump from the fish tank to the biofilter, water motor from the biofilter sump to the growers, and water reservoir control to the fish tank.…”

A Literature Review of Food Analytics

“…Remote sensors receive information provided by machines in the IIoT framework to boost e ciency, encourage better DM, and establish competitive advantages, independent of industry or company size (Misra et al, 2022). Furthermore, it would be imprudent not to use the emerging technologies that collect data, from smart sensors to satellites that can be crunched using various cloud-based analytic software program gear such as AI, to make aquaponics operations more e cient and environmentally friendly (Paul et al, 2022).…”

“…Aquatic animals produce a nutrient-rich byproduct (ammonia), which plants utilize as fertilizer. This system involves several mechanical and biological operations like heating, pumping, ltering, and so on (Paul et al, 2022). DA and sensor technology enable the creation of optimal conditions for both plants and sh, ensuring high output and improving resource e ciency by regularly monitoring the water quality, water level, temperature levels, sh health, salinity, pH level, humidity, and sunlight.…”