为可持续农业利用人工智能:一个全面的科学测量审查
Hardeep Kaur1, Bhanu Priya2, Kuldeep Singh3
1Lovely Professional University School of Electronics and Electrical Engineering Phagw?ra India.
Recent advances in food, nutrition & agriculture
|March 25, 2025
概括
农业中的人工智能 (AI) 正在快速增长,印度在出版物方面处于领先地位. 本研究分析了人工智能研究趋势,重点关注疾病检测和提高可持续农业产量等应用.
科学领域:
- 农业科学 农业科学
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
背景情况:
- 农业对发展中经济体至关重要,为GDP和就业做出贡献.
- 人工智能 (AI) 为提高农业实践提供了巨大的潜力.
- 以前缺乏对人工智能在农业研究中的全面科学度分析.
研究的目的:
- 描绘农业中人工智能 (AI) 技术的发展和研究模式.
- 通过使用Scopus数据,对2015-2024年农业人工智能进行科学度分析.
- 确定关键的研究趋势,有影响力的机构,以及农业人工智能的新兴话题.
主要方法:
- 对2015年至2024年的Scopus数据进行了图书统计分析.
- 使用VOSviewer和Bibliometrix软件进行数据可视化.
- 审查出版趋势,共同发生,共同作者,共同引用,机构和期刊合网络.
主要成果:
- 印度在出版物 (874) 方面领先,中国在链接强度 (1080) 方面领先.
- 主要研究领域包括疾病检测,营养分析,土壤评估和灌优化.
- 新兴的研究重点是人工智能提高农业产量,在供应链,自动化和气候适应性方面具有未来潜力.
结论:
- 农业人工智能研究正在扩大,印度和中国的贡献很大.
- 该研究强调了人工智能在提高农业效率,可持续性和粮食安全方面日益重要.
- 未来的研究方向包括用于供应链优化,自动化和农业气候适应力的AI应用.
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