Harnessing Artificial Intelligence for Sustainable Agriculture: A Comprehensive Scientometric Review.

Hardeep Kaur, Bhanu Priya, Kuldeep Singh
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Abstract

Agriculture empowers the economies of most developing countries as it contributes to the GDP and provides employment to half of the population. To augment the functionalities of agriculture, Artificial Intelligence (AI) has emerged as a significant solution. Consequently, substantial research endeavours have been carried out in this direction lately. However, a com-prehensive study and scientometric analysis highlighting the potential of AI in agriculture has not been reported in the literature. Therefore, the presented scientometric study depicts the evolution of the pattern of research related to Artificial Intelligence technologies in agricultural practices based on the bibliographic data obtained from Scopus from 2015 to 2024. The data was analyzed and visualized using VOSviewer and Bibliometrix software by examining the publication growth trends, keyword co-occurrence networks, co-authorship networks, co-cita-tion networks, institutional coupling networks, and journal coupling networks. The presented research concluded that India excels in the field, contributing 874 research documents, a sub-stantial portion of the global total of 1,938. As per the link strength, China has secured the top position with 56 links and a total link strength of 1,080, while India follows closely in second place with 56 links and a total link strength of 871. The leading institution funding researchers with the highest number of publications is ICAR, while Science of the Total Environment stands out as the most relevant journal for disseminating their findings. The research topics explored involve using AI for disease detection, addressing nutrient deficiencies, analyzing soil content, and optimizing irrigation schedules. A notable emerging research topic highlights the effectiveness of AI in terms of increasing yield in agriculture. The future of AI in agricul-ture includes supply chain optimization, task automation, and climate adaptability, boosting food security and sustainability.

利用人工智能促进可持续农业:科学计量学综述。
农业为大多数发展中国家的经济赋能,因为它为国内生产总值做出贡献,并为一半的人口提供就业机会。为了增强农业的功能,人工智能(AI)已经成为一个重要的解决方案。因此,最近在这方面进行了大量的研究工作。然而,文献中尚未报道强调人工智能在农业中的潜力的全面研究和科学计量分析。因此,本研究基于Scopus 2015 - 2024年的文献数据,描绘了农业实践中人工智能技术相关研究模式的演变。利用VOSviewer和Bibliometrix软件对数据进行分析和可视化,包括出版物增长趋势、关键词共现网络、合著网络、共被引网络、机构耦合网络和期刊耦合网络。所提出的研究得出的结论是,印度在这一领域表现出色,贡献了874份研究文件,占全球总数1938份的很大一部分。根据链接强度,中国以56个链接和1080个总链接强度稳居榜首,而印度以56个链接和871个总链接强度紧随其后。资助发表论文数量最多的研究人员的主要机构是ICAR,而《全面环境科学》则是传播他们发现的最相关的期刊。探索的研究课题包括利用人工智能进行疾病检测、解决营养缺乏、分析土壤含量和优化灌溉计划。一个值得注意的新兴研究课题强调了人工智能在提高农业产量方面的有效性。人工智能在农业领域的未来包括供应链优化、任务自动化和气候适应性,促进粮食安全和可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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