Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )

Smart Fish Feeding Solutions for Aquaponic Farming: Load Cell and Real-Time Clock Integrated System Design

Authors
Pola Risma1, *, Tegar Prasetyo1, Pertiwi Nurul Utami1, Adelia Br Sianipar1, Raihan Aldiaz Rahman1, Dzaky Rafif Hibrizi1
1Electrical Engineering Departement, Politeknik Negeri Sriwijaya, Palembang, 30139, Indonesia
*Corresponding author.
Corresponding Author
Pola Risma
Available Online 1 May 2025.
DOI
10.2991/978-94-6463-678-9_11How to use a DOI?
Keywords
ARIMA Forecasting in Aquaculture; Automated Fish Feeding; Feed Conversion Ratio (FCR); Load Cell Sensor Integration; Smart Aquaponic Systems
Abstract

Aquaponics, a sustainable farming method integrating aquaculture and hydroponics, provides environmental benefits by reducing water usage and minimizing chemical fertilizers. However, efficient feed management remains a challenge, as improper feeding can negatively affect fish health and water quality. While automated systems have improved water and environmental monitoring in aquaponics, the regulation of fish feed—critical for system balance—remains underdeveloped. This study addresses the gap by designing a smart fish feeding system that automates feed delivery using load cell sensors and a Real-Time Clock (RTC), with predictive capabilities through ARIMA modeling. The system was tested with Nile Tilapia (Oreochromis niloticus) over a 12-week period. Results showed high precision in feed delivery, with an average feed weight difference of only 0.34 g. The system achieved a Feed Conversion Ratio (FCR) of 5.61, indicating efficient feed utilization, while the fish experienced 123.12% growth. The incorporation of ARIMA enabled accurate forecasting of future feed needs based on fish growth trends, helping to maintain optimal feed amounts and prevent overfeeding. This research demonstrates how integrating real-time weight measurements with predictive modeling can enhance feeding precision, leading to healthier fish and reduced waste. Despite the system's success, environmental factors such as temperature and humidity occasionally affected sensor accuracy, suggesting future improvements. Future research should focus on scaling the system for larger operations and incorporating environmental controls, such as pH and temperature regulation, to further optimize aquaponic farming. This system presents a promising solution for sustainable aquaculture and hydroponics.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
Series
Advances in Engineering Research
Publication Date
1 May 2025
ISBN
978-94-6463-678-9
ISSN
2352-5401
DOI
10.2991/978-94-6463-678-9_11How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Pola Risma
AU  - Tegar Prasetyo
AU  - Pertiwi Nurul Utami
AU  - Adelia Br Sianipar
AU  - Raihan Aldiaz Rahman
AU  - Dzaky Rafif Hibrizi
PY  - 2025
DA  - 2025/05/01
TI  - Smart Fish Feeding Solutions for Aquaponic Farming: Load Cell and Real-Time Clock Integrated System Design
BT  - Proceedings of the 8th FIRST 2024 International Conference on Global Innovations (FIRST-ESCSI 2024 )
PB  - Atlantis Press
SP  - 97
EP  - 113
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-678-9_11
DO  - 10.2991/978-94-6463-678-9_11
ID  - Risma2025
ER  -