Automated Feeding System for Aquariums based on the Internet of Things
DOI:
https://doi.org/10.25124/cepat.v2i02.6089Keywords:
application, aquaculture, IoT, Feeding System, WaterAbstract
Feeding is influential for the survival of fish in the aquarium environment. Until now, most people do manual feeding. With manual feeding, the aquarium owner often forgets to feed the fish in the aquarium, whether it's too little or too much, both in terms of scale or timing of the feeding. In addition, if the aquarium owner is doing activities outside the home, the fish will not get food. This study adopts descriptive and casual methods. The first one is used to describe the system concept and the system design plan used. This fish-feeding system with NodeMCU ESP8266 based on the Internet of Things (IoT) can be implemented to control the feeding of fish in an aquarium environment. The purpose of this automatic feeding system is to ensure that the feed given to the fish in the aquarium is evenly distributed. Feeding the fish unevenly will cause the aquarium water to become cloudy. Turbid water can cause the ornamental fish in it to die besides being unpleasant to look at. Based on the results of testing the accuracy of the distance between the ruler and the ultrasonic sensor 5 times, an average error of 1.795% was found. In other words, the success of the ultrasonic sensor in detecting the distance of objects (fish) is 98.205%.
Downloads
References
Taufik, “Sejarah dan Pemanfaatan IoT Di Era Industri 4.0”, in Portal Data, vol. 2 no. 1, 2022
Selay, Arief, G. D Andigha, A. Alfarizi, M. I. B. Wahyudi, M. N. Falah, M. Khaira, and M. Encep, "Internet Of Things." in Karimah Tauhid., vol.1 no.6, pp. 860-868, 2022, doi: 10.30997/karimahtauhid.v1i6.7633
M. Herjayanto, et al., “Performa adaptasi pascapengangkutan ikan padi Oryzias javanicus dengan kepadatan berbeda”. Jago Tolis: Jurnal Agrokompleks Tolis, vol 1, no. 1, pp.1-5, 2021.
R.J. Hassan, et al., “State of art survey for iot effects on smart city technology: challenges, opportunities, and solutions”. Asian Journal of Research in Computer Science, vol 8, no. 3, 2020. pp.32-48, .
A. Aoun, A. Ilinca, M. Ghandour, and H. Ibrahim, “A review of Industry 4.0 characteristics and challenges, with potential improvements using blockchain technology”. Computers & Industrial Engineering, vol. 162, 2021. p.107746, doi: https://doi.org/10.1016/j.cie.2021.107746
Chen, Wei. "Intelligent manufacturing production line data monitoring system for industrial internet of things." in Computer communications, vol. 151, pp. 31-41, 2020, doi: 10.1016/j.comcom.2019.12.035
Nocheski, and A. Naumoski. "Water monitoring iot system for fish farming ponds." In Industry 4.0, 2018.
Singh, Manmeet, and S. Ahmed. "IoT based smart water management systems: A systematic review." In Proc. Materials Today, vol. 46, pp. 5211-5218, 2021, doi: https://doi.org/10.1016/j.matpr.2020.08.588
UF. Mustapha, A. W.Alhassan, D. N. Jiang, D.N. and G. L. Li, “Sustainable aquaculture development: a review on the roles of cloud computing, internet of things and artificial intelligence (CIA)”. Reviews in Aquaculture, vol. 13, no. 4, pp.2076-2091, 2021, doi: https://doi.org/10.1111/raq.12559
A. A. Hetami, M. F. Aransyah, and A.G. Andreana, “Portrait of the aquascape industry in Indonesia: Business opportunities and challenges”. AACL Bioflux, vol. 16, no. 1, 2023
J. A. Moorhead and C. Zeng. "Development of captive breeding techniques for marine ornamental fish: a review." In Reviews in Fisheries Science, vol. 18, no. 4, pp. 315-343, 2010, doi: 10.1080/10641262.2010.516035
Y. Gaidhani, M. Waje, M. Kalbande, and T. Panse, “IOT Based Automated Fish Tank. In Intelligent Systems for Social Good: Theory and Practice”, Singapore: Springer Nature Singapore, pp. 175-183, 2023
R. Mercogliano, C.G. Avio, F. Regoli, A. Anastasio, G. Colavita, G. and S. Santonicola, “Occurrence of microplastics in commercial seafood under the perspective of the human food chain. A review.” Journal of agricultural and food chemistry, vol. 68, no. 19, pp.5296-5301, 2023, doi: 10.1021/acs.jafc.0c01209
Martins, Catarina, L. Galhardo, C. Noble, B. Damsgård, M. T. Spedicato, W. Zupa, M. Beauchaud et al. "Behavioural indicators of welfare in farmed fish." in Fish Physiology and Biochemistry, vol. 38, pp. 17-41, 2012, doi: 10.1007/s10695-011-9518-8
Oktari, Dita, D. R. Suchendra, and Periyadi. "Sistem Pendeteksi Stok Makanan Pada Media Penyimpanan Berbasis Single-Board Microcontroller." In Proc. of Applied Science, vol. 9, no. 2, 2023.
Wadu, Robinson., Y. S. B Ada, and I. U. Panggalo. "Rancang bangun sistem sirkulasi Air pada akuarium/bak ikan air tawar berdasarkan kekeruhan air secara otomatis." In Jurnal Ilmiah Flash, vol. 3, 2017, pp. 1-10.
Downloads
Published
Issue
Section
License
CEPAT has chosen to apply the Creative Commons Attribution NonCommercial 4.0 License (CC BY-NC 4.0) to all manuscripts to be published. Authors who publish with this journal agree to the following terms.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.