Algorithm for Microclimate Optimalization for Black Soldier Fly IoT Insectarium: Bibliometric Analysis
In this work, bibliometric data from the Scopus database was used to analyze methods for microclimate optimization in Black Soldier Fly (BSF) Internet of Things insectariums. Enhancing the performance of Internet of Things insectariums and promoting food security can be achieved through the sustainable use of BSF in microclimate algorithm optimization. This work aims to advance research on microclimate optimization algorithms by presenting publishing patterns over the last five years (2019-2024) using bibliometric analysis and citation evolution tracking. In this work, bibliometric data from the Scopus, Web of Science, and IEEE databases were used to analyze methods for microclimate optimization. The objectives of this study are to identify future research directions, identify important works and writers, highlight leading countries in the field, and present potential joint venture opportunities.
Authors
- Ema Utami (ORCID: https://orcid.org/0000-0002-8237-8693)
- Ferry Wahyu Wibowo (ORCID: https://orcid.org/0000-0003-1913-436X)
- Kusrini Kusrini (ORCID: https://orcid.org/0000-0001-9573-3909)
- Yunita Sari (ORCID: https://orcid.org/0000-0001-8326-7525)
Institutions
- Universitas Respati Yogyakarta (ID)
- Universitas Amikom Yogyakarta
Publication Details
- Published
- 2024-10-24
- DOI
- https://doi.org/10.1109/icic64337.2024.10956584
- Primary Topic
- Insect and Arachnid Ecology and Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00