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使用监督和无监督机器学习方法进行分类和特征提取,用于肉木质乳房肌肉病检测

Aftab Siddique¹, Charles B Herron¹, Jaroslav Valenta²

¹Department of Poultry Science, Auburn University, Auburn, AL 36849, USA.

Foods (Basel, Switzerland)

|July 11, 2023

概括

经过修改的板式生物电阻分析 (BIA) 能够有效地检测加工线上的肉片中的木质乳房 (WB) 肌病. 这种直线技术提高了检测准确度,而不会减缓生产,有利于加工商.

科学领域:

动物科学动物科学
食品科学食品科学食品科学
生物技术是生物技术.

背景情况:

生物电阻分析 (BIA) 量化细胞特征,并用于跨物种的组成分析.
目前在家禽中检测木质乳房 (WB) 的BIA应用程序仅限于离线质量保证.
集成到加工线的线内BIA技术可以显著帮助家禽加工商.

研究的目的:

评估修改的直线生物电阻分析 (BIA) 设置在胸片中检测木质乳房 (WB) 肌病的有效性.
为了比较板块BIA设置与手持探头BIA设置的检测性能,以确定WB严重程度.
确定在家禽加工线上实施自动板 BIA 系统的可行性.

主要方法:

采集了80个新鲜脱骨的胸片,并通过手动触摸,根据WB严重程度进行分类.
两种BIA设置 (板式和手持式探针) 用于从片中收集阻抗数据.
应用了监督和无监督学习算法来分析BIA数据以检测WB.

主要成果:

经过修改的板式BIA设置显示,与探头BIA设置相比,普通片的检测能力更强.
板 BIA 设置的检测准确率为 80.00% (正常), 66.67% (中度) 和 85.00% (严重 WB).
手持BIA的准确率为77.78% (正常),85.71% (中度) 和88.89% (严重WB),盘子设置在肌肉病检测方面具有更高的整体有效性.

结论:

平板BIA设置更有效地检测木质乳腺肌肉病变,并且可以在不降低速度的情况下集成到加工线上.
修改后的自动板BIA为在加工线上检测WB的胸片提供了显著的改进.
在线BIA技术有望提高家禽行业的质量控制.

关键词:

生物电阻的生物电阻.手的触摸是手的触摸.在线加工在线加工监督学习学习监督学习没有监督的学习学习.伍迪的乳房是木质的

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