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.

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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
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article

Algorithm for Microclimate Optimalization for Black Soldier Fly IoT Insectarium: Bibliometric Analysis

Ema Utami, Ferry Wahyu Wibowo, Kusrini Kusrini, Yunita Sari
Insect and Arachnid Ecology and Behavior
article

Algorithm for Microclimate Optimalization for Black Soldier Fly IoT Insectarium: Bibliometric Analysis

Ema Utami, Ferry Wahyu Wibowo, Kusrini Kusrini, Yunita Sari
article en

Abstract

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.

Universitas Respati Yogyakarta (ID), Universitas Amikom Yogyakarta
Openalex Percentile: Top 71%
Insect and Arachnid Ecology and Behavior
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