基于Fundus摄像头的精确监测Wagyu牛的血液维生素A水平,使用深度学习
Nanding Li1,2,3, Naoshi Kondo2, Yuichi Ogawa2
1School of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, No.306 Zhaowuda Rd, Hohhot, Inner Mongolia Autonomous Region, China.
Scientific reports
|February 3, 2025
概括
这项研究引入了一种手持摄像头系统,用于实时监测牛血液中的维生素A水平. 深度学习模型准确地预测了维生素A缺乏症,帮助wagyu农民进行动物健康管理.
科学领域:
- 动物科学动物科学
- 兽医医学 兽医医学 兽医医学
- 生物技术是生物技术.
背景情况:
- 瓦古牛肉的质量取决于肌内脂肪,受到食维生素A的影响.
- 牛的维生素A不平衡会对表现,质量和健康产生负面影响.
- 目前用于监测牛群维生素A水平的方法缺乏实时能力和准确性.
研究的目的:
- 开发一种实时监测牛血液维生素A水平的系统,使用底部成像.
- 为了提高对牛维生素A缺乏预测的准确性.
- 为了支持精确的畜牧管理和 wagyu行业的动物福利.
主要方法:
- 一个手持摄像头系统被开发用于捕捉牛 fundus 图像.
- 深度学习算法在50只日本黑牛的4000张 fundus 图像上进行了训练和测试.
- 使用层级相关性传播 (LRP) 的可视化热图方法用于分析色谱特征.
主要成果:
- 深度学习模型在预测维生素A缺乏水平方面取得了很高的准确性 (87%的严重缺乏).
- 该系统在查和早期预警维生素A缺乏症方面表现出有效性.
- 来自LRP热图的色彩特征突出显示了感兴趣的区域 (ROI),占预测准确率的70%.
结论:
- 开发的摄像头系统提供了一个实用的解决方案,用于实时监测牛的维生素A水平.
- 这项技术可以帮助农民预防与维生素A相关的健康问题,并改善牲畜管理.
- 这项研究强调了 fundus成像和深度学习在精密畜牧业的潜力.
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