Internet of Things:  Water Quality Classifying Based on Estimation Dissolved Oxygen Solubility and Estimation Unionized Ammonia for Small-scales Freshwater Aquaculture

Rheza Shandikri; Bayu Erfianto

doi:10.22219/kinetik.v6i3.1329

Issue

Vo. 6, No. 3, August 2021

Issue Published : Aug 31, 2021

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Internet of Things: Water Quality Classifying Based on Estimation Dissolved Oxygen Solubility and Estimation Unionized Ammonia for Small-scales Freshwater Aquaculture

https://doi.org/10.22219/kinetik.v6i3.1329

Rheza Shandikri

Telkom University

Bayu Erfianto

Telkom University

Corresponding Author(s) : Rheza Shandikri

rhezashan@gmail.com

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vo. 6, No. 3, August 2021
Article Published : Aug 31, 2021

Abstract

In aquaculture, poor water quality can affect fish growth and mortality. Water quality parameters such as ammonia, temperature, pH, and dissolved oxygen must be controlled and monitored. There are available measuring devices for dissolved oxygen and ammonia levels, but measurements cost is not suitable for small-scale aquaculture and are manually process. Our experimental study proposes the Emerson formula to find the estimated value of unionized ammonia and the Benson-Krause formula to find the estimated dissolved oxygen solubility value without using an ammonia sensor or dissolved oxygen sensor. Internet of things can be applied to aquaculture to monitor and collect water parameter data without human intervention. The values of both estimates are validated using the Seneye Sensor. RMSE and MAE are used to calculate the performance evaluation between the Seneye value and the estimated value. Fuzzy logic clasify water quality derived from estimates of ionized ammonia and estimates of dissolved oxygen as input.

Keywords

Internet of Things Water quality Fuzzy logic Dissolved Oxygen Unionized Ammonia

Shandikri, R., & Erfianto, B. (2021). Internet of Things: Water Quality Classifying Based on Estimation Dissolved Oxygen Solubility and Estimation Unionized Ammonia for Small-scales Freshwater Aquaculture. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 6(3). https://doi.org/10.22219/kinetik.v6i3.1329

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References

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Fondriest, “Fondriest environmental learing center.”
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References

A. Bujari, M. Furini, F. Mandreoli, R. Martoglia, M. Montangero, and D. Ronzani, “Standards, Security and Business Models: Key Challenges for the IoT Scenario,” Mobile Networks and Applications, vol. 23, no. 1, pp. 147–154, Feb. 2018. https://doi.org/10.1007/s11036-017-0835-8

T. Samizadeh Nikoui, A. M. Rahmani, A. Balador, and H. Haj Seyyed Javadi, “Internet of Things architecture challenges: A systematic review,” International Journal of Communication Systems, vol. 34, no. 4, p. e4678, Mar. 2021. https://doi.org/10.1002/dac.4678

K. S. Aishwarya, M. Harish, S. Prathibhashree, and K. Panimozhi, “Survey on IoT Based Automated Aquaponics Gardening Approaches,” in 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Apr. 2018, pp. 1495–1500. https://doi.org/10.1109/ICICCT.2018.8473012

A. R. Yanes, P. Martinez, and R. Ahmad, “Towards automated aquaponics: A review on monitoring, IoT, and smart systems,” Journal of Cleaner Production, vol. 263, p. 121571, Aug. 2020. https://doi.org/10.1016/j.jclepro.2020.121571

Y. Wei, W. Li, D. An, D. Li, Y. Jiao, and Q. Wei, “Equipment and Intelligent Control System in Aquaponics: A Review,” IEEE Access, vol. 7, pp. 169306–169326, 2019. https://doi.org/10.1109/ACCESS.2019.2953491

G. M. Soto-Zarazúa, E. Rico-García, R. Ocampo, R. G. Guevara-González, and G. Herrera-Ruiz, “Fuzzy-logic-based feeder system for intensive tilapia production (Oreochromis niloticus),” Aquaculture International, vol. 18, no. 3, pp. 379–391, Apr. 2010. https://doi.org/10.1007/s10499-009-9251-9

B. Delaide, G. Delhaye, M. Dermience, J. Gott, H. Soyeurt, and M. H. Jijakli, “Plant and fish production performance, nutrient mass balances, energy and water use of the PAFF Box, a small-scale aquaponic system,” Aquacultural Engineering, vol. 78, pp. 130–139, Aug. 2017. https://doi.org/10.1016/j.aquaeng.2017.06.002

F. Rozie, I. Syarif, and M. U. H. al Rasyid, “Design and implementation of Intelligent Aquaponics Monitoring System based on IoT,” in 2020 International Electronics Symposium (IES), Sep. 2020, pp. 534–540. https://doi.org/10.1109/IES50839.2020.9231928

B. Rana, Y. Singh, and P. K. Singh, “A systematic survey on internet of things: Energy efficiency and interoperability perspective,” Transactions on Emerging Telecommunications Technologies, vol. 32, no. 8, Aug. 2021. https://doi.org/10.1002/ett.4166

W.-C. Hsu, P.-Y. Chao, C.-S. Wang, J.-C. Hsieh, and W. Huang, “Application of Regression Analysis to Achieve a Smart Monitoring System for Aquaculture,” Information, vol. 11, no. 8, p. 387, Aug. 2020. https://doi.org/10.3390/info11080387

B. B. Benson and D. Krause, “The concentration and isotopic fractionation of oxygen dissolved in freshwater and seawater in equilibrium with the atmosphere1,” Limnology and Oceanography, vol. 29, no. 3, pp. 620–632, May 1984. https://doi.org/10.4319/lo.1984.29.3.0620

K. Emerson, R. C. Russo, R. E. Lund, and R. v. Thurston, “Aqueous Ammonia Equilibrium Calculations: Effect of pH and Temperature,” Journal of the Fisheries Research Board of Canada, vol. 32, no. 12, pp. 2379–2383, Dec. 1975. https://doi.org/10.1139/f75-274

Q. Ren, L. Zhang, Y. Wei, D. Li, Y. Wei, and D. Li, “A method for predicting dissolved oxygen in aquaculture water in an aquaponics system,” Computers and Electronics in Agriculture, vol. 151, no. February, pp. 384–391, 2018. https://doi.org/10.1016/j.compag.2018.06.013

E. Setiadi, Y. R. Widyastuti, and T. Heru Prihadi, “Water Quality, Survival, and Growth of Red Tilapia, Oreochromis niloticus Cultured in Aquaponics System,” E3S Web of Conferences, vol. 47, p. 02006, Aug. 2018. https://doi.org/10.1051/e3sconf/20184702006

H. Wahid, A. F. M. Noor, D. H. Burhanuddin, and R. Ghazali, “Design of an automated hybrid system for aquaculture and agriculture process and its performance analysis,” International Journal of Integrated Engineering, vol. 9, no. 4, pp. 49–56, 2017.

FOA2018, The State World Fisheries and Aquaculture.

C. Lee and Y.-J. Wang, “Development of a cloud-based IoT monitoring system for Fish metabolism and activity in aquaponics,” Aquacultural Engineering, vol. 90, p. 102067, Aug. 2020. https://doi.org/10.1016/j.aquaeng.2020.102067

S. Naigaga, C. E. Boyd, P. Gaillard, H. A. Abdelrahman, and J. J. Molnar, “Assessing the Reliability of Water-Test Kits for Use in Pond Aquaculture,” Journal of the World Aquaculture Society, vol. 48, no. 4, pp. 555–562, 2017. https://doi.org/10.1111/jwas.12377

Fondriest, “Fondriest environmental learing center.”

C. Encinas, E. Ruiz, J. Cortez, and A. Espinoza, “Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture,” in 2017 Wireless Telecommunications Symposium (WTS), Apr. 2017, pp. 1–7. https://doi.org/10.1109/WTS.2017.7943540

N. Gavrilović and A. Mishra, “Software architecture of the internet of things (IoT) for smart city, healthcare and agriculture: analysis and improvement directions,” Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 1, pp. 1315–1336, Jan. 2021. https://doi.org/10.1007/s12652-020-02197-3

T. Haiyunnisa, H. S. Alam, and T. I. Salim, “Design control system for eel fish (Anguilla spp.) water aquaculture based Fuzzy Logic: MATLAB based simulation approach,” in 2016 6th International Annual Engineering Seminar (InAES), Aug. 2016, pp. 56–60. https://doi.org/10.1109/INAES.2016.7821907

E. H. Mamdani and S. Assilian, “An experiment in linguistic synthesis with a fuzzy logic controller,” International Journal of Man-Machine Studies, vol. 7, no. 1, pp. 1–13, Jan. 1975. https://doi.org/10.1016/S0020-7373(75)80002-2

N. Sharma, S. Acharya, K. Kumar, N. Singh, and O. P. Chaurasia, “Hydroponics as an advanced technique for vegetable production: An overview,” Journal of Soil and Water Conservation, vol. 17, no. 4, p. 364, 2018. https://doi.org/10.5958/2455-7145.2018.00056.5

L. C. Wenzel, S. M. Strauch, E. Eding, F. X. Presas-Basalo, B. Wasenitz, and H. W. Palm, “Effects of dissolved potassium on growth performance, body composition, and welfare of juvenile african catfish (Clarias gariepinus),” Fishes, vol. 6, no. 2, pp. 1–13, 2021. https://doi.org/10.3390/fishes6020011