Issue |
BIO Web Conf.
Volume 80, 2023
4th International Conference on Smart and Innovative Agriculture (ICoSIA 2023)
|
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Article Number | 06001 | |
Number of page(s) | 7 | |
Section | Smart and Precision Farming | |
DOI | https://doi.org/10.1051/bioconf/20238006001 | |
Published online | 14 December 2023 |
Design and development smart aquaculture in freshwater pond based on fuzzy logic
Electronic Engineering Polytechnic Institute of Surabaya, Mechanics and Energy Department Engineering, 60111, Indonesia
* Corresponding author: bagasokta02@me.student.pens.ac.id & epit@pens.ac.id
This research has the topic of Smart Aquaculture in freshwater ponds. Aquaculture or fish farming in Indonesia still monitors and manages ponds manually. Temperature, pH, and water turbidity are important parameters for the survival of fish in ponds. Therefore, it is necessary to design a tool that can monitor and control ponds automatically. This system worked by reading the pH, temperature, and water turbidity sensors. The microcontroller utilized the sensor readings to control the peristaltic pump for liquid pH, water pump, and valve operations. Subsequently, the sensor readings were transmitted to the ESP32, which further forwarded the sensor data to the cloud database. Applications that were integrated with the cloud database display sensor reading data. The system utilized Fuzzy Logic Control with the Mamdani method to automate its operation. The inputs for the fuzzy logic control included pH, temperature, and turbidity, while the outputs consisted of the peristaltic pump, valve, and water pump. This system successfully adjusts the control conditions of temperature 35°C, pH 5, and turbidity 1200 NTU, bringing them back to the normal setpoint, which is a temperature of 32°C, pH between 6-8, and turbidity of 150 NTU, and maintains them at these values.
Key words: aquaculture / fuzzy logic control / pond management / real time monitor
© The Authors, published by EDP Sciences, 2023
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.
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