基于耳底温度的北方冬季绵羊季节性疾病预警方法的研究
Jianzhao Zhou1, Runjie Jiang2, Dongsheng Xie2
1Faculty of Information Science and Engineering, Saitama University, Saitama 338-8570, Japan.
Animals : an open access journal from MDPI
|January 28, 2026
概括
这项研究引入了使用耳底温度监测来预警冬季绵羊疾病的早期预警系统. 该方法精确检测疾病,提高绵羊养殖效率和经济成果.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 动物健康监测 动物健康监测
- 机器学习在农业中的应用
背景情况:
- 耳底温度是羊核心体温和健康状况的敏感指标.
- 中国北部的冬季住房条件加剧了像绵羊肺炎这样的季节性疾病,影响了农场经济.
- 目前的疾病检测方法可能无法及时警告有效干预.
研究的目的:
- 开发一种早期预警方法,利用耳底温度检测羊的冬季疾病.
- 在健康的羊群中建立正常耳底温度范围的预测模型.
- 通过及时检测疾病,提高大型绵羊养殖的效率和经济绩效.
主要方法:
- 收集耳朵温度,体重和环境数据.
- 利用随机森林来进行特征选择和贝叶斯优化来对1D卷积神经网络的超参数调整.
- 根据预测的正常耳底温度范围,制定了早期预警策略.
主要成果:
- 拟议的方法实现了常见的冬季绵羊疾病的高检测率.
- 该系统在实验验证过程中保持了低的假阳性率.
- 在实际的农业条件下,有效性得到证实.
结论:
- 耳底温度监测系统提供了一种可靠的方法,用于早期检测绵羊的疾病.
- 与低成本温度感应耳朵标签的集成使实时健康监测成为可能.
- 该方法提高了大型绵羊养殖业的管理效率和经济绩效.
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