| Issue |
BIO Web Conf.
Volume 137, 2024
International Conference of Biotechnology on Community Development (ICBCD 2024)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 10 | |
| Section | Agriculture Technology | |
| DOI | https://doi.org/10.1051/bioconf/202413701009 | |
| Published online | 11 November 2024 | |
IoT performance analysis on water infrastructure to support optimization of catfish cultivation
1 Department of Electrical Engineering, Faculty of Engineering, 55183 Universitas Muhammadiyah Yogyakarta, Indonesia
2 Department of Medical Electrical Engineering, Faculty of Vocational, 55183 Universitas Muhammadiyah Yogyakarta, Indonesia
3 Department of Electrical Engineering, Faculty of Engineering, 55584 Universitas Islam Indonesia, Indonesia
4 Department of Medical Education, 55183 Universitas Muhammadiyah Yogyakarta, Indonesia
* Corresponding author: anna_nnc@umy.ac.id
In recent years, IoT has become a reliable technology in the agricultural sector to optimize cultivation results. In the Marsudi Luhur breeder group, the harvest results were not optimal because many catfish died and gave off a bad smell. According to several references, to ensure healthy growth of catfish, continuous irrigation of the pond is required even though the flow rate is low. The location of the catfish pond is quite far from residential areas so it is not practical to monitor irrigation performance by frequently visiting the pond area. Therefore, this project aims to create an IoT-based smart farming system using the Blynk application. The system has been successfully implemented to help monitor and control solenoid performance and water flow remotely. The results show that the IoT-based smart system has performed well and has the potential to increase efficiency, comfort and productivity in managing catfish ponds.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.