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人工智能在动物牲畜热应激管理中的应用
Ebenezer Binuni Rebez1,2, Veerasamy Sejian1,2, Mullakkalparambil Velayudhan Silpa1
1Rajiv Gandhi Institute of Veterinary Education and Research, Kurumbapet, Puducherry 605009, India.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
人工智能 (AI) 提供了先进的解决方案,用于管理反动物牲畜的热应激. 人工智能技术改善了动物表现监测,并在气候变化中最大限度地减少了生产损失.
科学领域:
- 农业科学 农业科学
- 气候科学 气候科学
- 计算机科学 计算机科学
背景情况:
- 气候变化引起的热压力对全球反动物畜牧业产量产生了重大影响.
- 有效的监测系统对于评估动物在热应激下表现至关重要.
- 人工智能 (AI) 为畜牧业热应激管理提供了一个有希望的方法.
研究的目的:
- 评估人工智能技术在管理反动物牲畜热应激方面的作用和有效性.
- 探索人工智能如何增强对动物表现和耐热压力的评估.
- 突出AI在尽量减少生产损失和确保可持续畜牧业生产方面的潜力.
主要方法:
- 审查和综合当前的人工智能技术,包括机器学习 (ML),神经网络和深度学习 (DL),应用于畜牧管理.
- 分析用于自动数据收集,预处理和实时监控的模型部署的支持人工智能的工具.
- 检查AI在预测疾病动态和帮助生产者决策方面的应用.
主要成果:
- 人工智能驱动的工具在评估反动物牲畜表现和减轻热应激影响方面表现出强大.
- 使用人工智能的自动监控系统有效地跟踪行为,生理和健康反应.
- 人工智能模型在决策中提供了精确性和准确性,作为早期预警系统.
结论:
- 人工智能技术是气候智能畜牧生产的组成部分,用于有效的热应激管理.
- 采用人工智能可以通过减少损失和提高气候适应能力来确保可持续的畜牧生产.
- 人工智能通过应对气候变化对牲畜带来的挑战来保护全球经济.
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