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Emirates Journal of Food and Agriculture 37: 1-12
doi:
10.3897/ejfa.2025.162672
Received:
20 Jun 2025 | Approved:
13 Oct 2025 | Published:
11 Nov 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:
Authors
Laboratory of Energy Alternative Sources, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Laboratory of Energy Alternative Sources, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Laboratory of Energy Alternative Sources, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Microbial Depository Center, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
“BIONA Group” LLC, Belgorod, Russia
“BIONA Group” LLC, Belgorod, Russia
Microbial Depository Center, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Laboratory of BAS Purification and Certification, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Vigen Goginyan
- Corresponding author
Laboratory of Energy Alternative Sources, “Armbiotechnology” Scientific and Production Center of the National Academy of Sciences, Yerevan, Armenia
Academic editor

King Faisal University, Al-Ahsa, Saudi Arabia
Conflict of interest
The authors have declared that no competing interests exist.
Supporting agencies
This research was funded by the Science Committee of the Ministry of ESCS of Armenia (grant number 23EDP-4D003)
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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