乳牛养殖中的数字和精密技术:一个图书识别分析
Franck Morais de Oliveira1, Gabriel Araújo E Silva Ferraz1, Ana Luíza Guimarães André2
1Department of Agricultural Engineering, School of Engineering, Federal University of Lavras (UFLA), Lavras 37200-900, Brazil.
Animals : an open access journal from MDPI
|June 27, 2024
概括
数字化和精密畜牧技术正在改变奶牛管理. 研究表明,机器学习和计算机视觉是监测,识别和提高牛奶生产可持续性的关键.
科学领域:
- 农业技术 农业技术
- 数据科学在农业中的应用
- 动物科学动物科学
背景情况:
- 数字和精密技术正在彻底改变奶牛管理.
- 这些进展旨在提高动物健康,福利和牛奶生产效率.
- 数据驱动方法的整合对于现代畜牧业至关重要.
研究的目的:
- 进行对乳制品养殖中数字和精密技术研究的文献分析.
- 绘制研究格局的地图,确定关键主题,并分析作者合作.
- 了解这些技术对乳制品生产的演变和影响.
主要方法:
- 从2008年到2023年11月,对198篇研究论文进行了图书统计分析.
- 利用Scopus和Web of Science数据库进行文献检索.
- 使用R (Bibliometrix,Biblioshiny) 和VOSviewer进行数据分析和可视化.
主要成果:
- 主要期刊包括"农业中的计算机和电子"和"乳制品科学杂志".
- 像机器学习,深度学习和计算机视觉这样的新兴技术是突出的.
- 应用侧重于行为监测,牛的识别和热应激管理.
结论:
- 数字化和精准畜牧业显著提高决策,改善奶牛群的健康和效率.
- 这些技术对于推进可持续乳制品生产实践至关重要.
- 该研究强调了数字工具对现代牛管理的变革性影响.
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