msiСовременная наука и инновацииModern Science and Innovations2307-910XNorth-Caucasus Federal University10.37493/2307-910X.2026.1.2msi-1824Research ArticleТЕХНИЧЕСКИЕ НАУКИ. ИНФОРМАТИКА, ВЫЧИСЛИТЕЛЬНАЯ ТЕХНИКА И УПРАВЛЕНИЕTECHNICAL SCIENCES. INFORMATION, COMPUTING AND MANAGEMENTРоль беспроводных сенсорных сетей в повышении эффективности агропромышленного комплекса: систематический обзорThe role of wireless sensor networks in improving the efficiency of the agro-industrial complex: a systematic reviewhttps://orcid.org/0000-0003-4703-9642СамойленкоВ. В.SamoylenkoV. V.

Владимир Валерьевич Самойленко, кандидат технических наук, доцент, доцент кафедры инжиниринга и IT-решений

д. 12, пер. Зоотехнический, Ставрополь, 355000

Vladimir V. Samoylenko – Cand. Sci. (Eng.), Associate Professor, Department of Engineering and IT Solutions, 

12, Zootekhnichesky ave., Stavropol, 355000

 

samoilenko.vv@yandex.ruStavropol State Agrarian UniversityRussian Federation202604052026012545Copyright © Самойленко В.В., 20262026Самойленко В.В.Samoylenko V.V.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://msi.elpub.ru/jour/article/view/1824Введение

Введение. Современный агропромышленный комплекс (АПК) сталкивается с вызовами, требующими перехода к прецизионным, ресурсосберегающим и адаптивным методам управления. Беспроводные сенсорные сети (БСС) рассматриваются как ключевая технологическая основа для цифровизации АПК. Однако, в литературе сохраняется пробел, связанный с отсутствием системного анализа интеграционного потенциала БСС и их комплексного влияния на операционную, экономическую и экологическую эффективность АПК на всех этапах цепочки создания стоимости.

Цель

Цель. Комплексный анализ роли БСС в повышении операционной, экономической и экологической эффективности АПК, а также выявление ключевых технологических трендов, барьеров внедрения и перспективных направлений будущих исследований.

Материалы и методы

Материалы и методы. Проведен систематический обзор литературы в соответствии с руководством PRISMA. Поиск релевантных публикаций за период 2021–2026 гг. осуществлен в базе данных Scopus с использованием заданной стратегии. Отбор исследований проводился по критериям PICOS, с фокусировкой на эмпирические работы, посвященные применению БСС в различных отраслях АПК. Для анализа использовались методы качественного тематического синтеза, библиометрической визуализации (VOSviewer) и критической оценки качества исследований.

Результаты и обсуждение

Результаты и обсуждение. Определено пять ключевых тематических кластеров исследований, подтверждающих их междисциплинарный характер. Установлено, что БСС оказывают значимое положительное влияние на ключевые показатели эффективности АПК, такие как повышение урожайности до 43%, экономию воды до 50% и удобрений до 32%, снижение энергопотребления до 50%. Технологическая составляющая БСС эволюционирует в сторону гибридных облачно-периферийных архитектур с интеграцией искусственного интеллекта. Произведенный анализ барьеров, препятствующих активному применению данной технологии в АПК.

Заключение

Заключение. БСС являются технологическим ядром для построения эффективного и устойчивого агропромышленного комплекса. Проведенный обзор систематизирует доказательства их положительного воздействия на KPI и выделяет архитектурные и интеграционные тренды. Для полной реализации потенциала БСС необходимы дальнейшие междисциплинарные исследования, направленные на преодоление технических и экономических барьеров, разработку стандартов и создание адаптивных решений, учитывающих локальные условия.

Introduction

Introduction. The modern agro-industrial complex faces challenges that require a transition to precision, resource-saving, and adaptive management methods. Wireless sensor networks are considered a key technological foundation for the digitalization of the agro-industrial complex. However, a gap persists in the literature regarding the lack of a systematic analysis of the integration potential of WSNs and their comprehensive impact on the operational, economic, and environmental efficiency of the agro-industrial complex at all stages of the value chain.

Goal

Goal. The aim of this systematic review is a comprehensive analysis of the role of WSNs in improving the operational, economic, and environmental efficiency of the agroindustrial complex, as well as identifying key technological trends, implementation barriers, and promising directions for future research.

Materials and methods

Materials and methods. A systematic literature review was conducted in accordance with the PRISMA guidelines. The search for relevant publications for the period 2021–2026 was performed in the Scopus database using a defined search strategy. Study selection was carried out according to PICOS criteria, focusing on empirical works dedicated to the application of WSNs in various sectors of the agro-industrial complex. For the analysis, methods of qualitative thematic synthesis, bibliometric visualization (VOSviewer), and critical assessment of study quality were used.

Results and discussion

Results and discussion. Five key thematic research clusters were identified, confirming their interdisciplinary nature. It was established that WSNs have a significant positive impact on the key performance indicators of the agro-industrial complex, such as increasing yield by up to 43%, saving water by up to 50% and fertilizers by up to 32%, and reducing energy consumption by up to 50%. The technological component of WSNs is evolving towards hybrid cloud-edge architectures with artificial intelligence integration. An analysis of barriers hindering the active application of this technology in the agro-industrial complex was performed.

Conclusion

Conclusion. WSNs are the technological core for building an efficient and sustainable agro-industrial complex. This review systematizes evidence of their positive impact on KPIs and highlights architectural and integration trends. For the full realization of WSNs' potential, further interdisciplinary research is needed, aimed at overcoming technical and economic barriers, developing standards, and creating adaptive solutions that consider local conditions.

беспроводные сенсорные сети (БСС)агропромышленный комплекс (АПК)«умное» сельское хозяйство (Smart Agriculture)Интернет вещей (IoT)ключевые показатели эффективности (KPI)прецизионное земледелиеэнергоэффективностьсистематический обзорпериферийные вычисления (Edge Computing)машинное обучение / искусственный интеллект (ИИ)протоколы LPWAN (LoRaWANNB-IoT)цифровизация сельского хозяйстваоптимизация ресурсов (водаудобрения)устойчивое развитиеавтономные системыwireless sensor networks (WSN)agro-industrial complexsmart agricultureInternet of Things (IoT)key performance indicators (KPI)precision farmingenergy efficiencysystematic reviewedge computingmachine learning / artificial intelligence (AI)LPWAN protocols (LoRaWANNB-IoT)digitalization of agricultureresource optimization (waterfertilizers)sustainable developmentautonomous systemsReferencesBayrakdar M. E. 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The authors declare that there are no conflicts of interest present.