Classic publications in food security research: A bibliometric analysis

Author:

Ho Yuh‐Shan1ORCID,Lwesya Francis2ORCID

Affiliation:

1. Trend Research Centre Asia University Taichung Taiwan

2. Department of Business Administration and Management The University of Dodoma Dodoma Tanzania

Abstract

AbstractThe article presents classic publications in the field of food security from 1993 to 2022 using bibliometric methods. Data come from the Science Citation Index Expanded (SCI‐EXPANDED) of the Web of Science database. The results show that the years 2010 and 2011 stand out as the most prolific, with a total of three classic articles receiving the highest citations. The articles show that agricultural intensification does not necessarily lead to increased yields but rather contributes to environmental degradation through deforestation, biodiversity loss, and ultimately climate change. The articles highlight the adoption of ecologically friendly methods, natural solution, and technology‐based and sustainable agricultural practices to reduce the impact of climate change and address food insecurity. However, linking agricultural intensification to biodiversity conservation and hunger and the effectiveness of different adaptation models in the increasing variability of extreme events remain complex issues that require further research in the future. Similarly, machine learning research can be used to address food insecurity, especially in crop or plant, and forestry tree breeding, precision agriculture, and so forth.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3