人工智能和牛乳腺炎研究的当前趋势:一个图书统计审查方法
Thatiane Mendes Mitsunaga1, Breno Luis Nery Garcia2, Ligia Beatriz Rizzanti Pereira2
1Luiz de Queiroz College of Agriculture-ESALQ, University of São Paulo, Av. Pádua Dias, 11, Piracicaba 13418-900, SP, Brazil.
Animals : an open access journal from MDPI
|July 27, 2024
概括
人工智能 (AI) 在诊断牛乳炎,一种昂贵的乳牛疾病方面表现有前途. 研究趋势表明,人工智能对乳腺炎检测越来越感兴趣,有可能进一步发展.
科学领域:
- 兽医科学 兽医科学 兽医科学
- 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:
- 牛乳炎显著影响奶牛群的利能力,需要准确的诊断方法.
- 人工智能 (AI) 模型为改善乳腺炎分类,识别,预测和诊断提供了潜力.
研究的目的:
- 进行人工智能 (AI) 和牛乳腺炎研究的文献统计审查.
- 分析2011年至2021年Scopus索引出版物中的趋势和确定关键主题.
主要方法:
- 对62个Scopus索引的文档进行了图书统计分析.
- 识别关键词,著名研究人员,出版物,主题和关键词集群.
- 从2011年到2021年对AI和牛乳腺炎研究的趋势分析.
主要成果:
- "乳腺炎"和"机器学习"是最常被引用的术语,从2018年到2021年,这一趋势在增加.
- "传感器"和"乳腺炎检测"成为相关术语.
- 美国在出版和合作方面处于领先地位;研究兴趣从2016年到2021年激增.
结论:
- 对牛乳腺炎的人工智能研究正在增长,出版物显著增加.
- 很少有研究专门使用人工智能来检测牛乳腺炎,主要是使用人工神经网络.
- 在牛乳腺炎检测中,人工智能应用的进一步研究和开发存在重大潜力.
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