个体动物识别的进步:从史前时期到现在的历史视角
Shiva Paudel1, Tami Brown-Brandl1
1Department of Biological System Engineering, University of Nebraska-Lincoln, Lincoln, NE 68503, USA.
Animals : an open access journal from MDPI
|September 13, 2025
概括
精密畜牧业 (PLF) 通过新的动物识别技术取得了进展. 本综述涵盖了从视觉检查到RFID,计算机视觉,生物识别和DNA分析的演变,以加强动物管理.
科学领域:
- 农业科学 农业科学
- 动物科学动物科学
- 技术与创新 技术与创新
背景情况:
- 精密畜牧业 (PLF) 集成先进技术以提高生产率和动物福利.
- 个别动物的识别是PLF的一个关键但具有挑战性的方面.
- 现有的审查缺乏各种识别技术的全面整合和评估.
研究的目的:
- 提供关于畜牧业动物识别方法演变的整体概述.
- 评估各种历史和现代识别技术的优点和局限性.
- 探索将传统方法与当代技术相结合的潜力.
主要方法:
- 动物识别技术的历史审查,从史前视觉检查到现代数字系统.
- 分析包括射频识别 (RFID),计算机视觉,生物识别和DNA分析在内的技术.
- 对每种方法的有效性,可扩展性和局限性的比较评估.
主要成果:
- 动物识别已经从简单的视觉线索演变为复杂的自动化系统.
- 当前的先进方法,如RFID,计算机视觉,生物识别和DNA分析提供了明显的优点和缺点.
- 视觉检查等传统方法仍然可以为新型自动识别解决方案的开发提供信息.
结论:
- 对动物识别的历史轨迹和技术进步的全面了解对PLF至关重要.
- 选择合适的识别方法取决于特定的农场需求,考虑成本,准确性和福利等因素.
- 未来的创新可能来自于既定和新兴识别技术的协同组合.
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