羊的人工智能辅助选择策略:将生殖特征与行为指标联系起来
Ebru Emsen1, Muzeyyen Kutluca Korkmaz2, Bahadir Baran Odevci3
1Department of Integrative Agriculture, College of Agriculture and Veterinary Medicine, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.
Animals : an open access journal from MDPI
|July 29, 2025
概括
人工智能 (AI) 通过使用行为监测提高繁殖效率来增强绵羊养殖. 这项技术有助于早期检测生殖事件,提高育种精度和动物福利.
科学领域:
- 动物科学动物科学
- 农业技术 农业技术
- 人工智能在农业中的应用
背景情况:
- 绵羊养殖的生产率在很大程度上依赖于生殖效率.
- 评估生殖特征的传统方法是主观的,并提供延迟的反.
- 人工智能的进步为监测动物行为提供了新的方法.
研究的目的:
- 审查人工智能驱动的羊繁殖行为监测工具.
- 提出一个概念模型 (ReproBehaviorNet),将行为与AI应用联系起来.
- 在绵羊养殖系统中支持实时决策.
主要方法:
- 利用人工智能,包括视频跟踪,可穿戴传感器 (加速计,GPS) 和机器学习算法.
- 非侵入性,持续监测羊的行为.
- 开发用于数据分析的计算机视觉模型.
主要成果:
- 人工智能可以识别以行为为基础的期,羔羊期和孕产妇行为指标.
- 传感器和人工智能的集成可以更早地检测生殖事件,并提高繁殖精度.
- ReproBehaviorNet模型将行为映射到生物过程和AI工具中.
结论:
- 人工智能辅助的行为表型可以提高遗传进步,动物福利和绵羊养殖的可持续性.
- 挑战包括数据质量,基础设施成本和技术专业知识要求.
- 跨学科的合作对于有效和公平地采用人工智能技术至关重要.
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