垂直農業におけるエネルギー効率トレンドの計量書誌学的分析:技術的最適化から環境持続可能性へ
Peer Review Report For: Bibliometric Analysis of Energy Efficiency Trends in Vertical Agriculture: From Technical Optimization to Environmental Sustainability [version 1; peer review: 1 not approved] (原題)
Arini Evadillah, Erin Nurul Pajriyah, Arif Hermawan, Riswan ., Nuzlia Nur'Aini, Nurhaliza .
🤖 gxceed AI 要約
日本語
アジアの垂直農業におけるエネルギー効率研究の計量書誌学的分析。2020年から2025年の142件の論文をVOSviewerで分析し、研究の成長と5つのテーマクラスターを特定。技術的運用最適化からAIベースの精密最適化への進化を示し、都市生態系との統合のギャップを指摘。
English
A bibliometric analysis of energy efficiency research in Asian vertical farming, examining 142 Scopus articles (2020-2025). Identifies five thematic clusters and reveals a shift from technical optimization to AI-based precision, highlighting a gap in systemic integration with urban ecosystems.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では垂直農業の省エネ技術は食料安全保障と脱炭素の両面で注目される。本分析は日本の研究ポジションを国際比較で示し、SSBJやESG情報開示における農業セクターの環境貢献の裏付けとして活用できる。
In the global GX context
This bibliometric study provides a regional overview of energy efficiency in vertical farming, relevant to global sustainability reporting and climate disclosure frameworks. It highlights the need for harmonized LCA methods and AI-driven optimization, aligning with ISSB and CSRD expectations for robust environmental data.
👥 読者別の含意
🔬研究者:Identifies research gaps and trends in vertical farming energy efficiency, useful for directing future studies.
🏢実務担当者:Provides insights into technological evolution and potential cost-saving measures for vertical farming operations.
🏛政策担当者:Highlights the need for policy support in integrating vertical farming with urban ecosystems and standardizing LCA.
📄 Abstract(原文)
Background High energy consumption in lighting and climate control systems remains a major obstacle to the economic viability of vertical farming, despite its potential as a strategic solution for urban food security. This study aims to analyze research trends in energy efficiency in vertical farming systems in Asia and their implications for environmental sustainability through a bibliometric approach. Methods A total of 142 journal articles retrieved from Scopus were analyzed using a bibliometric approach. The dataset primarily covers publications from 2020 to 2025, focusing on English-language open-access articles affiliated with institutions in Asian countries. Bibliometric mapping was conducted using VOSviewer to analyze publication trends, keyword co-occurrence networks, and collaboration patterns. Network, overlay, and density visualizations were used to identify thematic structures and research evolution in the field of energy efficiency in vertical farming systems. Results Publications grew from 11 documents in 2020 to a peak of 42 in 2025, with fluctuations including a dip in 2024 before the subsequent rise. China dominated country contributions (60 documents), followed by India, South Korea, and Japan, while Indonesia remained low (6 documents). Five thematic clusters were identified: energy efficiency, factory-level application, vertical agriculture/IoT systems, optimization-simulation, and building-sustainability. Overlay analysis revealed a technological evolution from infrastructure installation toward AI-based precision optimization, while density analysis showed saturation in technical-operational topics alongside a clear gap in systemic integration with urban ecosystems. Conclusions Energy efficiency research in Asian vertical farming has grown substantially but remains concentrated on technical-operational optimization, leaving systemic integration with urban ecosystems underexplored. Future research should prioritize harmonizing Life Cycle Assessment methods, developing low-cost autonomous control systems, and advancing building-integrated agriculture to strengthen the real-world environmental contribution of vertical farming technologies.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.5256/f1000research.203698.r502299first seen 2026-08-29 04:46:40
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