十一次全国动物营养学术研讨会论文集
.
长沙
:
中国
畜牧兽医学会动物营养分会
,2012:88 - 90.
[7]摇
姜琳琳
,
刘华贵
,
.
鸡肉中脂肪酸的研究进展
[J].
类研究
,2006(1):45 - 49.
[8] 摇 Douglas B, Gamal E, Dawen Sun, et al. Near鄄infrared
hyperspectral imaging for grading and classification of
pork[J]. Meat Science, 2011(1): 103 - 105.
[9]摇 De Marchi M, Riovanto R, Penasa M,et al. The rele鄄
vance of different near infrared technologies and sample
treatments for predicting meat quality traits in commercial
beef cuts[J]. Meat Science,2012,93(2):329 - 335.
[10]摇 Kapper C, Klont R E, Verdonk J M A J, et al. Predic鄄
tion of pork quality with near infrared spectroscopy
(NIRS)[J]. Meat Science, 2012(3): 76 - 79.
[11]摇 Barbin D F, EIMasry G, Sun D W, et al. Non鄄destruc鄄
tive determination of chemical composition in intact and
minced pork using near鄄infrared hyperspectral imaging
[J]. Food Chemistry, 2013,138(2 - 3):1162 - 1171.
[12]摇 De Marchi M. On鄄line prediction of beef quality traits
using near infrared spectroscopy [ J ]. Meat Science,
2013(4): 22 - 25.
[13]摇 Agelet L E, Charles R. Hurburgh,Limitations and cur鄄
rent applications of Near Infrared Spectroscopy for single
seed analysis[J]. Talanta, 2014, 121:276 - 280.
[14]摇 Zangerl佴 A, Hissler C, Blouin M, et al. Near infrared
spectroscopy ( NIRS) to estimate earthworm cast age
[ J]. Soil Biology and Biochemistry, 2014, 70:87 - 90.
[15]摇
林岩
,
郭培源
,
王昕琨
.
基于近红外光谱的猪肉蛋白
质及脂肪含量检测
[ J].
食品科技
, 2014, 39 (2):
262 - 266.
[16]摇
郭培源
,
林 岩
,
付妍
,
.
基于近红外光谱技术的猪
肉新鲜度等级研究
[J].
激光与光电子学进展
, 2013
(3): 183 - 189.
[17]摇
郭培源
,
王昕琨
,
林 岩
,
.
基于多信息融合的注水
肉检测方法研究
[ J].
激光与光电子学进展
, 2013
(7): 151 - 157.
[18]摇
王昕琨
,
郭培源
,
林岩
.
基于多数据融合技术的腊肉
品质等级研究
[ J].
食品科学
, 2014, 35(2): 217 -
221.
Research on Classifying Chicken Based on Near鄄infrared Spectroscopy
XIANG Lingzi,摇 GUO Peiyuan
*
(
School of Computer Science and Information Engineering
,
Beijing Technology and Business University
,
Beijing
100048,
China
)
Abstract
: One quick and accurate method of distinguishing broiler chicken and native chicken was stud鄄
ied due to the disorder of chicken market. The discriminated model of chicken classification was built
based on near infrared (NIR) spectroscopy technology and cluster analysis. The effects of different pre鄄
treatment methods on the prediction results were also discussed. The results showed that the discriminated
model of chicken classification could be built based on NIR Spectroscopy technology and cluster analysis.
The model could be used to distinguishing the broiler chicken and native chicken. Meanwhile, the rate of
the data after the second derivative and vector normalization model prediction was 100% .
Key words
: chicken classification; near infrared spectroscopy; cluster analysis
(
责任编辑
:
檀彩莲
)
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向灵孜等
:
近红外光谱分析技术在鸡肉分类检测中的应用
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