Worldwide trends in the scientific production of literature on traceability in food safety: A bibliometric analysis

IF 8.2 Q1 AGRICULTURE, MULTIDISCIPLINARY Artificial Intelligence in Agriculture Pub Date : 2021-01-01 DOI:10.1016/j.aiia.2021.11.002
Aditya Sinha , Prashant Priyadarshi , Mani Bhushan , Dharmendra Debbarma
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引用次数: 8

Abstract

Food traceability is an important aspect of the food safety supply chain to ensure efficient tracking of produce to check contamination and other foodborne diseases. The health and nutrition response after the Covid-19 pandemic requires a robust and diverse food supply chain in which traceability could play a major role. Since it is an emerging field of study with growing interest in the technological front, it is important to study the scientific trend and research activities. This study provides an important insight into the food safety value chain response towards modern food safety management systems through scientometric analysis. Scopus database was used to retrieve the documents from the year 1992–2021. The research papers and conference papers were only chosen. Vosviewer software was used to carry out the scientometric analysis. The distribution and growth trend of documents, country-level distribution of publications, the relationship between authors and co-authors, etc., were analyzed. The intensity of publications from different countries and the collaborations was analyzed using bibliometrix R-package. The year-wise research publication showed a rapid increase in the researchers conducted on traceability systems to enhance food safety from 2014 onwards, mainly from the USA and China. However, the research appeared to be in the developing phase compared to other technology implementation and automation advancements.

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食品安全可追溯性文献科学生产的全球趋势:文献计量学分析
食品可追溯性是食品安全供应链的一个重要方面,以确保有效跟踪农产品,以检查污染和其他食源性疾病。2019冠状病毒病大流行后的卫生和营养应对需要一个强大和多样化的食品供应链,可追溯性可以在其中发挥重要作用。由于这是一个新兴的研究领域,人们对技术前沿的兴趣日益浓厚,因此研究科学趋势和研究活动非常重要。本研究通过科学计量分析提供了对现代食品安全管理体系的食品安全价值链响应的重要见解。使用Scopus数据库检索1992-2021年的文献。研究论文和会议论文只被选中。采用Vosviewer软件进行科学计量分析。分析了文献的分布和增长趋势、出版物的国家级分布、作者和共同作者之间的关系等。使用bibliometrix R-package分析了不同国家的出版物和合作的强度。年度研究出版物显示,自2014年以来,主要来自美国和中国的可追溯系统研究人员迅速增加,以加强食品安全。然而,与其他技术实施和自动化进步相比,这项研究似乎处于发展阶段。
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来源期刊
Artificial Intelligence in Agriculture
Artificial Intelligence in Agriculture Engineering-Engineering (miscellaneous)
CiteScore
21.60
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊最新文献
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