The monitoring of aquaculture and hydroculture with the aid of sensors is what a smart aquaponics system is all about. Through the use of aquaponics, fish farming can be combined with aquatic-based, terrestrial plant farming, which could also be better defined through its prediction of the sharing of nutrients resource. In an aquaponics system, it is extremely important to properly maintain the temperature of the water as well as the pH value of the water in order to ensure healthy growth of the fish and plants. The objective of this paper is to devise a method for monitoring the temperature of the water as well as the pH level of the water in an aquaponic system. It also adds the controlling system that will be used to maintain a stable environment for the aquaponics system. Using machine learning, a smart aquaponics system illustrates the disparity between the rates at which plants grow in various mediums. It forecasts the development of the aquaponics systems by analyzing parameters such as the amount of ammonia in the water, the temperature of the water, the iron content of the water, etc... In the process of controlling systems, Arduino devices serve both as data collectors and as executers. This paper depicts about an efficient system which minimizes the wastage of water and increases the yields.

Aquaculture, Hydroponic, Aquaponics, Machine learning, Arduino, Sensors