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ORIGINAL RESEARCH article

Front. Comput. Sci.

Sec. Mobile and Ubiquitous Computing

Hardware and Software System for Adaptive Precision Agriculture Management within the Consolidation of Modern Agrotechnologies in the Crop Production Sector of the Kyrgyz Republic

Provisionally accepted
Alex  KarpovAlex Karpov1Oleg  DorofeevOleg Dorofeev2Yuliya  SmirnovaYuliya Smirnova1Irina  KulibabaIrina Kulibaba1*Yana  BeresnevaYana Beresneva1
  • 1Moscow Polytechnic University, Moscow, Russia
  • 2Non-governmental educational private institution of higher education "Moscow University "Synergy", Moscow, Russia

The final, formatted version of the article will be published soon.

Background. Kyrgyzstan's economy depends on agriculture. Of strategic importance for it are natural conditions that form various ecosystems in different regions. The article highlights the problems that can be solved by developing a single software and hardware complex that ensures the fulfillment of the tasks of the production cycle associated with the cultivation of agricultural crops. Materials and Methods. The complex use of systems analysis, system engineering and object-oriented design methods made it possible to develop models for the software and hardware complex. They were used during the development phase according to the incremental life cycle model. Results. The article presents models of the software and hardware structure with the characteristics of each link, categories of users with their functionality. Examples of user tasks and corresponding scenarios for using the digital system have been created. A prototype user interface has been developed. Conclusion. The use of development ensures the creation of favorable conditions for growing crops in accordance with the principles of modern agricultural technologies, constant and objective monitoring of the condition of grown plants and farm facilities. The results can be used to create a national digital agri-food system that ensures sustainable development and food security.

Keywords: Agriculture, artificial intelligence, Intelligent systems, Internet of Things, sustainable development

Received: 09 Dec 2025; Accepted: 03 Feb 2026.

Copyright: © 2026 Karpov, Dorofeev, Smirnova, Kulibaba and Beresneva. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Irina Kulibaba

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