相关实验视频
Updated: May 1, 2026
14:53
Bovine Mammary Gland Biopsy Techniques
Published on: December 23, 2018
14.2K
基于牛奶产量,时间和牛奶电导率的乳母炎临床预测使用机器学习算法
Hong Tian1, Xiaojing Zhou1,2, Hao Wang3
1College of Science, Heilongjiang Bayi Agricultural University, No. 5 Xinyang Road, Daqing 163319, China.
Animals : an open access journal from MDPI
|February 10, 2024
概括
机器学习模型可以使用传感器数据预测乳牛中的牛乳炎. 早期检测有助于干预,减少抗菌素耐药性和改善牛奶产量.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 动物科学动物科学
- 机器学习应用 机器学习应用
背景情况:
- 奶牛场的乳腺炎增加了抗菌素的使用和耐药性,影响了牛奶的生产.
- 早期检测和干预对于管理牛乳腺炎至关重要.
- 基于传感器的数据为乳牛群的预测建模提供了潜力.
研究的目的:
- 开发和评估用于预测临床牛乳腺炎的机器学习模型.
- 使用传感器数据识别乳腺炎的关键预测变量.
- 评估不同机器学习算法对乳腺炎预测的有效性.
主要方法:
- 利用来自中国东北部五个商业农场的447头乳牛和2146头健康奶牛的数据.
- 采用了9个机器学习算法,包括多层人工神经网络,来构建预测模型.
- 分析了诸如日常活动,反时间,牛奶产量和牛奶电导率等变量,使用标准化和非标准化数据集.
主要成果:
- 与非标准化数据相比,Z标准化数据集在所有哺乳阶段都改善了模型性能.
- 多层人工神经网络算法展示了最好的预测性能.
- 乳牛的峰值产量明显高于乳牛,这表明高产牛更容易受到影响.
结论:
- 机器学习算法是预测商业奶牛养殖场牛乳炎的有效工具.
- 基于传感器的预测模型能够及时干预和改善群体管理.
- 一致的预测变量重要性突出了这些模型在类似的农业系统中的可靠性.
相关概念视频
01:25Multiple Regression
3.3K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.3K
01:18Steps in Outbreak Investigation
779
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
779