期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

猪胴体智能分级技术研究进展 被引量：1

The Development of the Pig Carcasses’ Automatic Grading Technology
下载PDF
导出
摘要 猪胴体智能分级技术是屠宰行业关注的热点,本文概述了猪胴体分级技术的发展历史、现状和发展趋势,并根据我国的现状提出了一些建议。 The pig carcasses＇ automatic grading technology is the focus of the slaughtering enterprises. This paper described the history, the current situation and the trends of the automatic grading technology and provided some suggestion based on the situation of our country.
作者 李红民 肖华党 甘泉
机构地区 江苏雨润食品产业集团有限公司生鲜技术部
出处 《肉类研究》 2010年第7期28-30,共3页 Meat Research
关键词 猪胴体 智能分级 技术 pig carcass automatic grading technology
分类号 TS251.4 [轻工技术与工程—农产品加工及贮藏工程]
  • 相关文献

参考文献8

  • 1张楠,周光宏,徐幸莲.猪胴体分级技术研究进展[J].食品科学,2005,26(9):558-562. 被引量：9
  • 2Kempster A J,Jones-D w, Cnthberson A. A comparison of the Danish MFA, Ulster and optical probes for use in pig carcass classification and grading[J].Meat Science,1979,3(2):109-120.
  • 3Kempster A J,Chadwick J P, Jones D W Cuthberson A. An evaluation of the Hennessy and Chong Fat Depth Indicator, and the Ulster Probe, for use in pig carcass classification and grading[J].Anim- Prod,1981,33(3):319-324.
  • 4Kempster A J, Chadwick J P, Jones D W. An evaluation of the Hennessy grading probe and the SFK Fat-O-Meat' er for use in pig carcass classification and grading[J]. Animal Production, 1985, 40:323-329.
  • 5Gispert M, Gou P, Diestre A,et al.Bias and future trends of pig carcass classification methods. Special issue: new developments in guaranteeing the optimal sensory quality of meat [J]. Food- Chemistry,2000,69:4,457-460.
  • 6Swatland H J, et al.Real-time ultrasound image analysis for the estimation of carcass yield and pork quality[J]. Canadian Journal of Animal Science, 1996,76:55 -62.
  • 7Goldenberg A A, Ananthanarayanan S P. An approach to automation of pork grading[J].Food Res Int, 1994,27 (2): 191 - 193.
  • 8张东红,陶立,王重龙.21世纪中国养猪业发展战略[J].安徽农业科学,2002,30(2):185-187. 被引量：19

二级参考文献21

  • 1刘丑生.猪的性状相关与非线性回归估测瘦肉率的研究[J].甘肃畜牧兽医,1997,27(2):5-9. 被引量：3
  • 2Fredeen H T. Changes in the characteristics of commercial hof carcasses in Canada[J]. Can J Anim Sci, 1984, 64: 569-586.
  • 3Kempster A J, Jones-D W, Cuthberson A. A comparison of the Danish MFA, Ulster and optical probes for use in pif carcass classification and grading[J]. Meat Science, 1979,3(2):109-120.
  • 4Kempster A J, Chadwick J P, Jones D W Cuthberson A. An evaluation of the Hennessy and Chong Fat Depth Indicator,and the Ulster Probe, for use in pif carcass classification and grading[J]. Anim-Prod, 1981, 33(3): 319-324.
  • 5Sather A P, et al. The prediction of pork carcass composition using the Hennessy Grading Probe and the Aloka SSD-210DⅫEcho Camera[J]. Canadian Journal of Animal Science,1991, 71:993-1000.
  • 6Sather A P, Jones S D M, Robertson W M. The effect of genotype on predicted lean yield in heavy pig carcasses using the Hennessy grading probe, the DESTRON PG-100 and Fat-O-Meat'er electronic grading probes[J]. Canadian Journal of Animal Science, 1995, 69: 93-101.
  • 7Kempster A J, Chadwick J P, Jones D W. An evaluation of the Hennessy grading probe and the SFK Fat-O-Meat'er for use in pig carcass classification and grading[J]. Animal Production, 1985, 40: 323-329.
  • 8Fortin A, et al. Evaluation of different ruler and ultrasonic backfat measurements as indices of comrnercial and lean yield of hog carcasses for commercial grading purpose[J]. Canadian Journal of Animal Science, 61:893-905.
  • 9Kempstereses A J, Cook G L. Errors in carcass lean prediction with special reference to the EC grading scheme. New techniques in pig carcass evaluation[C]. Proceedings of the EAAP Symposium of the Commission on Pig Production,Helsinki,Finland, 1 July 1988. 1989,28-36; 7 ref.; EAAPP ublication No. 41.Wageningen, Netherlands; PUDOC.
  • 10Diestre A, Gispert M, Oliver M A. The evaluation of Automatic probes in Spain for the new scheme for pig carcass grading according to the EC regulations[J]. Animal-Production,1989, 48.

共引文献26

同被引文献12

引证文献1

二级引证文献7

肉类研究
2010年 第7期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部