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相关概念视频

Microbes in Beverage Production01:25

Microbes in Beverage Production

Alcoholic beverages such as wine, beer, and spirits are the products of microbial fermentation processes that transform simple sugars into ethanol and a wide array of complex flavor compounds. These transformations rely on the metabolic activities of specific yeasts and bacteria, which are selected and controlled to yield the desired beverage characteristics.Wine Fermentation and MaturationWine production begins with the crushing of grapes to release juice and pulp, forming a must that is...

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Murine Drinking Models in the Development of Pharmacotherapies for Alcoholism: Drinking in the Dark and Two-bottle Choice
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使用计算机视觉分析肉牛的饮酒行为.

Md Nafiul Islam1, Jonathan Yoder1, Amin Nasiri1

  • 1Department of Biosystems Engineering and Soil Science, University of Tennessee, Knoxville, TN 37996, USA.

Animals : an open access journal from MDPI
|September 28, 2023
PubMed
概括

这项研究引入了一种计算机视觉系统来监测肉牛的饮酒行为,改善畜牧业的动物健康监测. 该系统在识别饮酒时间方面实现了97.35%的准确性.

科学领域:

  • 动物科学动物科学
  • 计算机视觉 计算机视觉
  • 机器学习 机器学习

背景情况:

  • 监测动物的饮酒行为对于牲畜的健康和福祉至关重要.
  • 衡量饮用时间的传统方法是劳动密集型的,对于大型畜牧业生产来说具有挑战性.
  • 计算机视觉为自动化和高效监控提供了一个潜在的解决方案.

研究的目的:

  • 开发一种计算机视觉系统,用于监测肉牛的饮酒行为.
  • 用低成本的摄像机系统来获取数据.
  • 通过行为监测实现对动物福利的自动分析.

主要方法:

  • 开发了一个数据采集系统,配备RGB摄像头和超声波传感器.
  • 采用DeepLabCut,一个深度学习架构,用于跟踪关键牛体部位 (头-耳-).
  • 利用长期短期记忆 (LSTM) 模型从提取的关键点分类饮酒和不饮酒时间.

主要成果:

  • 开发的系统准确地追踪了肉牛的关键身体部位.
  • 在测试期间,LSTM模型在分类饮酒和不饮酒时间方面实现了97.35%的准确性.
  • 总共有70个视频用于培训和测试,其中8个用于验证.
关键词:
动物行为 动物行为牛肉牛 牛肉牛 牛肉牛计算机视觉 计算机视觉饮酒时间 饮酒时间精准畜牧业 精准畜牧业 精准畜牧业 精准畜牧业

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结论:

  • 计算机视觉系统有效地监测肉牛的饮酒行为.
  • 这项技术可以提高农民在监测动物健康和福祉方面的能力.
  • 这些发现解决了畜牧业对有效行为监测的迫切需求.