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All Journal Jurnal Media Computer Science
Muhammad Akhdan Nafi'
Universitas Negeri Yogyakarta
Computer Science & IT

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An Integrated IoT–AI Architecture for Precision Beekeeping: Sensing, Data Communication, Colony-State Intelligence, and Decision-Oriented Actions Pipit Utami; Mashoedah Mashoedah; Hanif Nurkhalis; Muhammad Akhdan Nafi'; Wulan Savitri; Widya Prastowo; Diah Wulan Safitri; Fajar Dwi Saputra
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.10589

Abstract

Precision beekeeping increasingly adopts Internet of Things (IoT) and artificial intelligence (AI) technologies, yet most existing systems remain monitoring-centric. This study synthesizes the architectural characteristics of IoT–AI precision beekeeping systems and identifies integration gaps that constrain decision-oriented operation. A systematic literature review of 50 Scopus-indexed studies published between 2015 and 2024 was conducted using a PRISMA-based selection process and an architecture-oriented synthesis across sensing, communication, intelligence, and decision layers. The results reveal a strong emphasis on sensing and data acquisition, while analytical outputs are weakly linked to operational decision-making, preventing most systems from closing the loop from inference to action. These findings suggest that the main limitation is architectural rather than technological. Accordingly, this study positions a reference architecture as an analytical framework for end-to-end smart beehive systems, with implications for more integrated and practical applications in small- and medium-scale beekeeping operations.
Co-Authors Diah Wulan Safitri Fajar Dwi Saputra Hanif Nurkhalis Mashoedah Mashoedah Pipit Utami Widya Prastowo Wulan Savitri