智慧农业二十年的主题映射与文献计量分析

Inf. Comput. Pub Date : 2023-07-11 DOI:10.3390/info14070396
Tri Kushartadi, A. Mulyono, Azhari Haris Al Hamdi, Muhammad Afif Rizki, Muhammad Anwar Sadat Faidar, Wirawan Dwi Harsanto, M. Suryanegara, M. Asvial
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引用次数: 1

摘要

预计2050年全球人口将达到90亿,这意味着粮食需求将会增加。农业是全球粮食生产的主要来源,通过与信息和通信技术系统的整合来提高其效率和生产力,即所谓的“智能农业”,是优化粮食供应的一种有希望的方法。本研究采用文献计量分析技术调查智能农业趋势,确定其潜在利益,并分析其研究见解。数据来自Scopus数据库1997-2021年期间的1141篇出版物,并使用VOS Viewer进行提取,该工具使用共被引单位量化文章之间的联系,从而绘制出从农业到土壤湿度等10个集群的地图。最后,进一步分析了智慧农业的三大主题,即物联网;区块链和农业机器人;智能农业、作物和灌溉。
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Theme Mapping and Bibliometric Analysis of Two Decades of Smart Farming
The estimated global population for 2050 is 9 billion, which implies an increase in food demand. Agriculture is the primary source of food production worldwide, and improving its efficiency and productivity through an integration with information and communication technology system, so-called “smart farming”, is a promising approach to optimizing food supply. This research employed bibliometric analysis techniques to investigate smart farming trends, identify their potential benefits, and analyze their research insight. Data were collected from 1141 publications in the Scopus database in the period 1997–2021 and were extracted using VOS Viewer, which quantified the connections between the articles using the co-citation unit, resulting in a mapping of 10 clusters, ranging from agriculture to soil moisture. Finally, the analysis further focuses on the three major themes of smart farming, namely the IoT; blockchain and agricultural robots; and smart agriculture, crops, and irrigation.
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