Smart Aquarium Monitoring and Cultivation System using JarFish IoT 1st Generation
Keywords:
IoT, JarFish, Microcontroller, Blynk, RTCAbstract
Internet of Things (IoT) is a basic understanding about a device that has the function to enable or disable via internet network. Therefore, IoT systems can include various kinds of devices that people used in daily activities. Devices with IoT inside of it can we find anywhere and become important because in the last 3 decades, internet is the most useful technology development in this era. We develop an IoT devices to facilitate fish farming and rearing activities to help the fish owners. Since they don’t have time take care of the aquarium, we assist them with this invention. So, this will help them much more without them losing time on their daily activities. There will be a pH level sensor to know the exact pH inside of the aquarium, Turbidity sensor to understand when to clean the dirty water and fill with the new cleaner water, automatic feeding systems with RTC so it can put out fish food inside of the aquarium with time that user want, and lastly water drain & fill systems so the user didn’t have to fill and drain manually. We develop it with ESP32 as the micro-controller and Blynk as the main page. So, the user can monitor and also maintain manually the aquarium, regardless of where they are. With JarFish Monitoring System the aquarium is able to maintain its pH level at 6.2, temperature at 23°C, and turbidity at 1023 mNTU.
Downloads
References
H. Ngarianto, E. S. Purwanto, and H. Andrean, “Cultivation of Flowerhorn Species in Search of Superior Quality Seeds using IoT and Open CV,” International Journal of Emerging Technology and Advanced Engineering, vol. 12, no. 12, pp. 75–83, Dec. 2022, doi: 10.46338/ijetae1222_09.
K. L. Tsai, L. W. Chen, L. J. Yang, H. Shiu, and H. W. Chen, “IoT based Smart Aquaculture System with Automatic Aerating and Water Quality Monitoring,” Journal of Internet Technology, vol. 23, no. 1, pp. 177–184, 2022, doi: 10.53106/160792642022012301018.
I. Journal and M. B. C, “Aquaculture monitoring and control system: An IoT based approach,” 2019. [Online]. Available: www.IJARIIT.com
Y. Adityas, S. R. Riady, M. Ahmad, M. Khamim, and K. Sofi, “JISA (Jurnal Informatika dan Sains) Water Quality Monitoring System with Parameter of pH, Temperature, Turbidity, and Salinity Based on Internet of Things”.
M. Hazim, H. Said, S. Siti Hafshar, and S. I. Safie, “CONTROLLING AND MONITORING WATER QUALITY IN SALTWATER AQUARIUM,” 2021. [Online]. Available: www.mitec.unikl.edu.my/mjit
Fao, “EUROPEAN INLAND FISHERIES AND AQUACULTURE ADVISORY COMMISSION (EIFAAC) WELFARE OF FISHES IN AQUACULTURE FAO Fisheries and Aquaculture Circular REU/C1189 (En)”.
N. H. M. Tahir, S. N. Mohamad, W. F. W. Tarmizi, M. L. M. Zain, and N. N. Jailani, “IOT BASED APPROACH ON AQUARIUM MONITORING SYSTEM WITH FISH FEEDER AUTOMATION,” vol. 11, no. 2, pp. 2180–3811, [Online]. Available: https://journal.utem.edu.my/index.php/jet/index
O. A. Nasir and S. Mumtazah, “IOT-BASED MONITORING OF AQUACULTURE SYSTEM,” MATTER: International Journal of Science and Technology, vol. 6, no. 1, pp. 113–137, Jun. 2020, doi: 10.20319/mijst.2020.61.113137.
Z. Zuriati, A. R. Supriyatna, and O. Arifin, “Design and Development of Feeding Automation System and Water Quality Monitoring on Freshwater Fish Cultivation,” in IOP Conference Series: Earth and Environmental Science, Apr. 2021, vol. 1012, no. 1. doi: 10.1088/1755-1315/1012/1/012077.
S. Kori, S. Ayatti, V. Lalbeg, and A. Angadi, “Smart live monitoring of aquarium—An IoT application,” in Smart Innovation, Systems and Technologies, 2019, vol. 107, pp. 1–9. doi: 10.1007/978-981-13-1747-7_1.
D. A. Carozza, D. Bianchi, and E. D. Galbraith, “Metabolic impacts of climate change on marine ecosystems: Implications for fish communities and fisheries,” Global Ecology and Biogeography, vol. 28, no. 2, pp. 158–169, Jan. 2019, doi: 10.1111/geb.12832.
S. Saha, R. H. Rajib, and S. Kabir, “IoT Based Automated Fish Farm Aquaculture Monitoring System,” in 2018 International Conference on Innovations in Science, Engineering and Technology, ICISET 2018, Oct. 2018, pp. 201–206. doi: 10.1109/ICISET.2018.8745543.
W. T. Sung, S. C. Tasi, and S. J. Hsiao, “Aquarium Monitoring System Based on Internet of Things,” Intelligent Automation and Soft Computing, vol. 32, no. 3, pp. 1649–1666, 2022, doi: 10.32604/IASC.2022.022501.
Y. B. Lin and H. C. Tseng, “FishTalk: An IoT-Based Mini Aquarium System,” IEEE Access, vol. 7, pp. 35457–35469, 2019, doi: 10.1109/ACCESS.2019.2905017.
J. Junaedi and H. Ki, “Smart Aquarium with IoT based as Monitoring in Fish Farming,” bit-Tech, vol. 4, no. 3, pp. 116–122, Jun. 2022, doi: 10.32877/bt.v4i3.441.
M. F. Suhaimi, N. Huda, M. Tahir, S. N. Mohamad, and S. R. Aw, “IoT Based Automatic Aquarium Monitoring System for Freshwater Fish,” 2021.
C. Rosa Malik, I. Sucahyo, and M. Yantidewi, “Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram,” vol. 10, no. 3, 2022, doi: 10.33394/j.
B. Siregar, F. Rachman, S. Efendi, and Sulindawaty, “Monitoring the Value of Water Quality and Condition Parameters Using the Open Sensor Aquarium,” in Journal of Physics: Conference Series, Sep. 2019, vol. 1255, no. 1. doi: 10.1088/1742-6596/1255/1/012036.
Desai, N. ., & Shukla, P. . (2023). Performance of Deep Learning in Land Use Land Cover Classification of Indian Remote Sensing (IRS) LISS – III Multispectral Data. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 128–134. https://doi.org/10.17762/ijritcc.v11i3.6329
Rajesh Patel, Natural Language Processing for Fake News Detection and Fact-Checking , Machine Learning Applications Conference Proceedings, Vol 3 2023.
Juneja, V., Singh, S., Jain, V., Pandey, K. K., Dhabliya, D., Gupta, A., & Pandey, D. (2023). Optimization-based data science for an IoT service applicable in smart cities. Handbook of research on data-driven mathematical modeling in smart cities (pp. 300-321) doi:10.4018/978-1-6684-6408-3.ch016 Retrieved from www.scopus.com
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Risma Yulistiani , Dimas Ramdhan, Ali Shidqie Al Faruqi, Andrew William Corputty, Heri Ngarianto
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
