Hardware and software system for adaptive precision agriculture management within the consolidation of modern agrotechnologies in the crop production sector of the Kyrgyz Republic

Background Kyrgyzstan’s economy depends on agriculture. Of strategic importance are the natural conditions that form various ecosystems in different regions. The article highlights the problems that can be addressed by developing a unified software and hardware complex that ensures the fulfillment of the tasks associated with the agricultural production cycle. Materials and methods The comprehensive application of systems analysis, system engineering, and object-oriented design methods enabled the development of models for the software and hardware complex. These models were used during the development phase following the incremental life cycle model. Results The article presents models of the software and hardware structure, detailing the characteristics of each component and the categories of users along with their functionalities. Examples of user tasks and corresponding scenarios for using the digital system have been created. A prototype user interface has also been developed. Conclusion The use of this development fosters the creation of favorable conditions for crop cultivation in accordance with modern agricultural technology principles, allowing for ongoing and objective monitoring of plant health and farm facilities. The results can be used to create a national digital agri-food system that promotes sustainable development and food security.

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Publication Details

Journal
Frontiers in Computer Science
Published
2026-03-03
DOI
https://doi.org/10.3389/fcomp.2026.1763420
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Hardware and software system for adaptive precision agriculture management within the consolidation of modern agrotechnologies in the crop production sector of the Kyrgyz Republic

Oleg V. Dorofeev, Irina Kulibaba, Yana Beresneva, Yuliya Smirnova et al.
Frontiers in Computer Science
Smart Agriculture and AI
article

Hardware and software system for adaptive precision agriculture management within the consolidation of modern agrotechnologies in the crop production sector of the Kyrgyz Republic

Oleg V. Dorofeev, Irina Kulibaba, Yana Beresneva, Yuliya Smirnova, Alex Karpov
article en

Abstract

Background Kyrgyzstan’s economy depends on agriculture. Of strategic importance are the natural conditions that form various ecosystems in different regions. The article highlights the problems that can be addressed by developing a unified software and hardware complex that ensures the fulfillment of the tasks associated with the agricultural production cycle. Materials and methods The comprehensive application of systems analysis, system engineering, and object-oriented design methods enabled the development of models for the software and hardware complex. These models were used during the development phase following the incremental life cycle model. Results The article presents models of the software and hardware structure, detailing the characteristics of each component and the categories of users along with their functionalities. Examples of user tasks and corresponding scenarios for using the digital system have been created. A prototype user interface has also been developed. Conclusion The use of this development fosters the creation of favorable conditions for crop cultivation in accordance with modern agricultural technology principles, allowing for ongoing and objective monitoring of plant health and farm facilities. The results can be used to create a national digital agri-food system that promotes sustainable development and food security.

Frontiers in Computer ScienceVol. 8
Moscow University «Synergy» (RU), Moscow Polytechnic University (RU)
Zero hunger
Openalex Percentile: Top 37%
Smart Agriculture and AI
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Hardware and software system for adaptive precision agriculture management within the consolidation of modern agrotechnologies in the crop production sector of the Kyrgyz Republic — Oleg V. Dorofeev, Irina Kulibaba, et al. · Frontiers in Computer Science (2026) | TGRS Research Map | TGRS