Suppr超能文献

超宽带微波系统作为一种非侵入性技术,可预测牛肉胴体脂肪厚度。

Ultrawide band microwave system as a non-invasive technology to predict beef carcase fat depth.

机构信息

School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia; Advanced Livestock Measurement Technologies project, Meat and Livestock Australia, NSW 2060, Australia.

School of Veterinary and Life Sciences, Murdoch University, WA 6150, Australia; Advanced Livestock Measurement Technologies project, Meat and Livestock Australia, NSW 2060, Australia.

出版信息

Meat Sci. 2021 Sep;179:108455. doi: 10.1016/j.meatsci.2021.108455. Epub 2021 Jan 30.

Abstract

A portable ultra-wide band microwave system (MiS) coupled with an open-ended coaxial probe (OCP) or Antipodal Vivaldi Antenna (VPA) was tested as a non-invasive objective measurement to predict beef carcase single site fat depth at commercial abattoirs. Experiment one tested the effectiveness of MiS coupled with a VPA. The VPA was used to predict hot carcase P8 (fat depth on the rump) across 4 slaughter groups (n = 241). The VPA was also used to predict cold carcase rib fat (at the quartering site, 75% along the rib eye muscle) across 5 slaughter groups (n = 598). Experiment two tested the ability of MiS coupled with OCP to measure hot carcase P8 across two slaughter groups (n = 435). A machine learning stacking ensemble method was used to create the prediction equations. Datasets were grouped by prediction trait (P8 or ribfat) and probe/antenna then randomly divided into 5 groups based on tissue depth. Precision was greatest using OCP to predict P8 fat depth with a RMSEP of 2.47 mm and R2 of 0.70. The VPA precision was similar for the two tissue depths assessed, hot carcase P8 had an average RMSEP of 2.86 mm and R2 of 0.58 compared to cold carcase rib fat RMSEP of 2.60 mm and R2 of 0.55.

摘要

一种便携式超宽带微波系统 (MiS) 与开放式同轴探头 (OCP) 或对偶 Vivaldi 天线 (VPA) 耦合,作为一种非侵入性的客观测量方法,用于预测商业屠宰场的牛肉单部位脂肪深度。实验一测试了 MiS 与 VPA 耦合的有效性。VPA 用于预测 4 个屠宰组的热胴体 P8(臀部脂肪深度)(n = 241)。VPA 还用于预测冷胴体肋骨脂肪(在四分体部位,沿着肋眼肌的 75%),横跨 5 个屠宰组(n = 598)。实验二测试了 MiS 与 OCP 结合测量热胴体 P8 的能力,横跨两个屠宰组(n = 435)。使用机器学习堆叠集成方法创建预测方程。数据集根据预测特征(P8 或肋骨脂肪)和探头/天线进行分组,然后根据组织深度随机分为 5 组。使用 OCP 预测 P8 脂肪深度的精度最高,RMSEP 为 2.47mm,R2 为 0.70。VPA 对两种评估的组织深度的精度相似,热胴体 P8 的平均 RMSEP 为 2.86mm,R2 为 0.58,而冷胴体肋骨脂肪的 RMSEP 为 2.60mm,R2 为 0.55。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验