Monitoring the pH and temperature of IoT-based fish farming using Arduino

Kusdarnowo Hantoro

Abstract


The Internet of Things (IoT) based intelligent Fish farming refers to the integration of various IoT devices and sensors into traditional fish farming practices to monitor and optimize various aspects of the fish farming environment such as water temperature, pH levels, oxygen levels, and feed schedules. This can help to improve the overall health and wellbeing of the fish, reduce waste, and increase productivity and efficiency. IoT devices can also be used to track the growth and health of individual fish, allowing farmers to make data-driven decisions about when to harvest or move fish to different tanks. The use of IoT technology can also help to detect potential health issues or environmental problems early on, allowing farmers to take preventative measures to minimize the impact on their fish. Overall, smart fish farming using IoT has the potential to revolutionize the way fish are farmed, making the process more sustainable, efficient, and profitable. The project focuses on an IoT-enabled smart fish farming system. In order to deal with them, the system is coupled with an irrigation system. Indonesia’s weather is erratic. This system's microcontroller is an Arduino ESP32. The temperature sensor DSb18B20 and the soil moisture sensor DF Robot are used to regulate the environment. Both a computer and a smartphone are used to display the results.


Full Text:

PDF

References


J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things ( IoT ): A vision , architectural elements , and future directions,” Futur. Gener. Comput. Syst., vol. 29, no. 7, pp. 1645–1660, 2013, doi: 10.1016/j.future.2013.01.010.

I. Setiawan, J. Junaidi, F. Fadjryani, and F. R. Amaliah, “Automatic Plant Watering System for Local Red Onion Palu using Arduino,” J. Online Inform., vol. 7, no. 1, p. 28, 2022, doi: 10.15575/join.v7i1.813.

M. S. Farooq, S. Riaz, A. Abid, K. Abid, and M. A. Naeem, “A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming,” IEEE Access, vol. 7, pp. 156237–156271, 2019, doi: 10.1109/ACCESS.2019.2949703.

P. H. Tarange and R. G. Mevekari, “wireless sensor network and Embedded Linux board,” pp. 0–4, 2015.

Z. Muhammad, M. A. A. M. Hafez, N. A. M. Leh, Z. M. Yusoff, and S. A. Hamid, “Smart Agriculture Using Internet of Things with Raspberry Pi,” Proc. - 10th IEEE Int. Conf. Control Syst. Comput. Eng. ICCSCE 2020, no. August, pp. 85–90, 2020, doi: 10.1109/ICCSCE50387.2020.9204927.

D. Preuveneers and Y. Berbers, “Enabling self-learning in dynamic and open IoT environments,” Procedia - Procedia Comput. Sci., vol. 32, pp. 207–214, 2014, doi: 10.1016/j.procs.2014.05.416.

M. Pachiyannan, “2nd International Conference on Signal Processing and Communication, ICSPC 2019 - Proceedings,” 2nd Int. Conf. Signal Process. Commun. ICSPC 2019 - Proc., pp. 104–108, 2019.

P. Srinivasulu, M. S. Babu, R. Venkat, and K. Rajesh, “Cloud service oriented architecture (CSoA) for agriculture through internet of things (IoT) and big data,” Proc. - 2017 IEEE Int. Conf. Electr. Instrum. Commun. Eng. ICEICE 2017, vol. 2017-Decem, pp. 1–4, 2017, doi: 10.1109/ICEICE.2017.8191906.

M. Ayaz, M. Ammad-Uddin, Z. Sharif, A. Mansour, and E. H. M. Aggoune, “Internet-of-Things (IoT)-based smart agriculture: Toward making the fields talk,” IEEE Access, vol. 7, pp. 129551–129583, 2019, doi: 10.1109/ACCESS.2019.2932609.

E. D’Mello and J. Rozenblit, “Design for a patient-centric medical information system using XML web services,” Proc. - Int. Conf. Inf. Technol. Gener. ITNG 2007, pp. 562–567, 2007, doi: 10.1109/ITNG.2007.69.

Abdul, Chindra, Zulfi, and Pareza Alam, “Perancangan Sistem Kontrol Suhu dan Monitoring Serta Kelembapan Kumbung Jamur Tiram Menggunakan Mist Maker Berbasis IoT (Internet of Thing),” J. Process., vol. 17, no. 2, pp. 82–90, 2022, doi: 10.33998/processor.2022.17.2.1231.

S. Qazi, B. A. Khawaja, and Q. U. Farooq, “IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends,” IEEE Access, 2017, doi: 10.1109/ACCESS.2022.3152544.

H. Chai, J. Choi, and J. Jeong, “An Enhanced Secure Mobility Management Scheme for Building IoT Applications,” Procedia - Procedia Comput. Sci., vol. 56, pp. 586–591, 2015, doi: 10.1016/j.procs.2015.07.258.

M. Chiang and T. Zhang, “Fog and IoT : An Overview of Research Opportunities,” vol. 4662, no. c, 2016, doi: 10.1109/JIOT.2016.2584538.




DOI: http://dx.doi.org/10.24014/coreit.v9i1.21893

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License  site stats  
Jurnal CoreIT by http://ejournal.uin-suska.ac.id/index.php/coreit/ is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.