Indoor Aquaponic System Design And Analysis Of Its Nitrogen Cycle Using Ion Selective Electrode (Ise)

Background: The AquaPonic system is an eco-friendly recycling method that can save energy and reduce the impact of environmental pollution from fish manure by utilizing it as a nutrient for plant growth. The aquaponic system is required to measure and control the suitability and efficiency of the circulation system depending on the concentration of the ammonium ion and the nitrate ion. For the measurement of nitrate and ammonium ions, ISE (Ion Selective Electrodes) were fabricated and applied to the designed system. Methods: ISE were prepared for the measurement and analysis of ammonium and nitrate ions, which are the most important components of nitrogen circulation in the fish excrement of the designed aquaponic-system. The temperature, humidity, light composition and light intensity of plant growing area were controlled to collect meaningful information about growth of the plant. Lettuce was cultivated in a total of 60 ports and cultivated in a hydroponic cultivation method using fish excrement as a nutrient. Nitrate and ammonium ions were measured at 24 hour intervals for 1 month of growth of tilapia and lettuce. In order to investigate the growth of lettuce, weights and length were collected and the images of tilapia were obtained at feeding to determine the growth of tilapia. Results: The analysis of the weight, length, and nutrients of the lettuce grown in the designed aqua phonics system showed that the designed aquaponic-system is an efficient system. Discussions: In order to design an aquaponic-system for various crops and species, it is considered necessary to conduct experiments on aquaponic-system which combines various crops and species. Further research on the algorithm that can control the system in optimum environment is needed by collecting information about growth of plant and fish in controlled environment. Conclusion: It is expected that further research on the development of algorithms that can determine the optimum growth environment by acquiring the growth information as changing the growth environment through the controllable system.