Bibliometric Analysis of Urban Farming
Loso Judijanto · Bintang Cahya · Rani Eka Arini
通过文献计量分析梳理城市农业研究的发展脉络、合作模式与新兴趋势。
Scopus数据,VOSviewer进行绩效分析和科学图谱。
城市农业研究从传统转向技术驱动,涉及垂直农业、物联网、AI等。
可探索城市农业中数字技术与可持续政策的整合,以及发展中国家智慧农业的适配研究。
系统梳理城市农业研究脉络,揭示技术驱动趋势,对领域有参考价值,但时效性较低。
Urban farming has emerged as an important research area in response to increasing urbanization, food security challenges, and the need for sustainable agricultural systems. This study aims to examine the development, intellectual structure, collaboration patterns, and emerging research trends in urban farming literature using a bibliometric analysis approach. Data were collected from the Scopus database using relevant keywords related to urban farming and analyzed through performance analysis and science mapping techniques with VOSviewer. The analysis covers publication trends, highly cited literature, author collaboration, institutional and country networks, keyword co-occurrence, temporal evolution, and research density patterns. The findings indicate that urban farming research has evolved from a focus on peri-urban agriculture, land utilization, and sustainable food production toward technology-driven approaches involving vertical farming, hydroponics, smart agriculture, Internet of Things (IoT), artificial intelligence, and machine learning. The collaboration analysis reveals that urban farming research is globally distributed, with countries such as Indonesia, the United States, China, India, Germany, and the United Kingdom serving as important knowledge contributors. The keyword analysis further demonstrates that sustainability, food security, and technological innovation represent the dominant themes shaping the field. This study contributes to a better understanding of the intellectual development of urban farming research and identifies future opportunities for integrating digital technologies, sustainability strategies, and inclusive urban agricultural policies.