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Emirates Journal of Food and Agriculture 37: 1-10
doi: 10.3897/ejfa.2025.154685
Received: 02 Apr 2025 | Approved: 25 Sep 2025 | Published: 08 Oct 2025
This article is part of:
Feeding the Future: Advancements in Deep Learning for Sustainable Agriculture and Food Security
Edited by Prof. Yonis Gulzar & Zeynep Ünal
This article is part of:
Emirates Journal of Food and Agriculture 37
Authors
Ece Atmaca
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Mehmet Efnan Koyunlu
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Beyza Özkan
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Eray Önler
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Çetin Yağcılar
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Murat Deveci
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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İlker Hüseyin Çelen - Corresponding author
Tekirdağ Namık Kemal Üniversitesi, Tekirdağ, Turkiye
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Academic editor
Zeynep Ünal
Niğde Ömer Halisdemir University, Central Campus, 51240, NİĞDE, Turkey, NİĞDE, Turkiye
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Author contributions

Ece Atmaca, M. Efnan Koyunlu, and Beyza Özkan contributed to the experimental design, data collection, and initial drafting of the manuscript. Çetin Yağcılar was responsible for fish cultivation and water quality measurements. Eray Önler handled system automation and sensor integration. Murat Deveci provided scientific support on plant physiology and cultivation conditions. İlker H. Çelen supervised the overall study, reviewed the manuscript, and served as the corresponding author.


Conflict of interest
The authors have declared that no competing interests exist.
Supporting agencies
This study was supported by the Namık Kemal University Scientific Research Projects Coordination Unit (NKÜBAP) within the scope of the student research project titled “Portable Aquaponic Farming System with Automation” under project number NKUBAP.03.DPÖ.24.582.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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