Predicting quality measures in beef cattle using ultrasound imaging

机译：使用超声成像预测肉牛的质量措施

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A method of determining two quality measures of beef cattle using different classification networks is presented. The method involves calculating texture features from ultrasound images of the beef cattle and then predicting the final percentage intramuscular fat (IMF) and marbling grades associated with the beef cattle. This method can be used in the cattle industry to enhance current breeding techniques.

机译：提出了使用不同分类网络确定肉牛的两种质量指标的方法。该方法包括根据肉牛的超声图像计算纹理特征，然后预测与肉牛相关的最终肌内脂肪（IMF）和大理石花纹等级百分比。此方法可用于养牛业以增强当前的育种技术。

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《Computational Intelligence for Image Processing, 2009. CIIP '09》|2009年|96-103|共8页
会议地点 Nashville TN(US);Nashville TN(US)
作者
Harron W.; Dony R.;
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food products; image classification; image texture; ultrasonic imaging; beef cattle; breeding; classification networks; intramuscular fat; marbling grades; quality measures; texture features; ultrasound imaging;

机译：食品;图像分类;图像纹理;超声成像;牛;繁殖;分类网络;肌内脂肪;大理石花纹等级;质量指标;质地特征;超声成像;

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机译：超声波和car体的遗传参数可测量替代肉牛和屠宰肉牛的产量和质量。
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机译：成像和超声波在牛肉品质分级中的应用

Predicting quality measures in beef cattle using ultrasound imaging

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