Quantification and visualization of meat quality traits in pork using hyperspectral imaging

Autor:	Xi Tang, Lin Rao, Lei Xie, Min Yan, Zuoquan Chen, Siyi Liu, Liqing Chen, Shijun Xiao, Nengshui Ding, Zhiyan Zhang, Lusheng Huang
Rok vydání:	2022
Předmět:	Red Meat Meat Phenotype Swine Pork Meat Animals Hyperspectral Imaging Food Science
Zdroj:	Meat science. 196
ISSN:	1873-4138
Popis:	Accurate and rapid determination of meat quality traits plays key roles in food industry and pig breeding. Currently, most of the spectroscopic instruments developed for meat quality determination can only obtain the spectral average value of the sample, so it is difficult to evaluate the spatial variation of meat quality traits. In this study, we evaluated the predictive potential of 14 meat quality traits based on large-scale VIS/NIR hyperspectral images collected by SpecimIQ. When predictions were based solely on hyperspectral data, the prediction accuracy (R
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4af2ba4f7f5ea3b4bd40a75aac2dcd5c https://pubmed.ncbi.nlm.nih.gov/36455423 Zobrazit plný text záznamu Full Text from ScienceDirect