Centre pork chop colour classification using image analysis on the ventral surface of the loin

Author:

Wei X.12ORCID,Bohrer B.3,Uttaro B.1,Juárez M.1

Affiliation:

1. Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, Lacombe, AB T4L 1W1, Canada

2. Department of Food Science, University of Guelph, Guelph, ON N1G 2W1, Canada

3. Department of Animal Sciences, The Ohio State University, Columbus, OH 43210, USA

Abstract

Image analysis of ventral, anterior, and posterior ends of 550 pork loins was used to classify extreme-coloured centre chops. Only the ventral side was strongly correlated ( r = 0.79) to the centre chop. Thresholds at 2.5th, 5th, and 7.5th percentiles of ventral surface pale pork were selected to classify centre chop pale pork (5th percentile). Increasing stringency increased accuracy in excluding pale samples. At the 7.5th percentile, prediction accuracy of pale (85.7%) and non-pale samples (89.5%) was balanced. This method can be adopted by commercial pork processors as a classification or pre-sorting approach.

Funder

Swine Innovation Porc

Publisher

Canadian Science Publishing

Subject

Animal Science and Zoology,Food Animals

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3