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
{"title":"Worldwide trends in the scientific production of literature on traceability in food safety: A bibliometric analysis","authors":"Aditya Sinha ,&nbsp;Prashant Priyadarshi ,&nbsp;Mani Bhushan ,&nbsp;Dharmendra Debbarma","doi":"10.1016/j.aiia.2021.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":52814,"journal":{"name":"Artificial Intelligence in Agriculture","volume":"5 ","pages":"Pages 252-261"},"PeriodicalIF":8.2000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589721721000337/pdfft?md5=4720e9eda367c90e7f698575224424e9&pid=1-s2.0-S2589721721000337-main.pdf","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence in Agriculture","FirstCategoryId":"1087","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2589721721000337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
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
Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression Utility-based regression and meta-learning techniques for modeling actual ET: Comparison to (METRIC-EEFLUX) model Detectability of multi-dimensional movement and behaviour in cattle using sensor data and machine learning algorithms: Study on a Charolais bull Estimating TYLCV resistance level using RGBD sensors in production greenhouse conditions Development of a cutting-edge ensemble pipeline for rapid and accurate diagnosis of plant leaf diseases
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1