VNIR公司
高光谱成像
支持向量机
分级(工程)
肉牛
食品科学
人工智能
化学
计算机科学
生物
动物科学
生态学
作者
Stuart Crichton,Sascha Kirchner,Victoria Porley,Stefanie Retz,Gardis von Gersdorff,Oliver Hensel,Barbara Sturm
出处
期刊:Meat Science
[Elsevier]
日期:2017-12-01
卷期号:134: 14-17
被引量:14
标识
DOI:10.1016/j.meatsci.2017.07.012
摘要
Initial quality grading of meat is generally carried out using invasive and occasionally destructive sampling for the purposes of pH testing. Precise pH and thresholds exist to allow the classification of different statuses of meat, e.g. for detection of dry, firm, and dark (DFD) (when dealing with cattle and sheep), or pale, soft exudative meat (when dealing with pork). This paper illustrates that threshold detection for pH level in beef with different freshness levels (fresh, fresh frozen-thawed, matured, and matured frozen-thawed). Use of support vector machine (SVM) analysis allowed for the classification of beef samples with a pH above 5.9, and below 5.6, with an accuracy of 91% and 99% respectively. Biochemical and physical conditions of the meat concerning the pH are discussed.
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