Quantitative Prediction of Beef Quality Using Visible and NIR Spectroscopy with Large Data Samples Under Industry Conditions

Prediction of some quality attributes of lamb meat using near-infrared hyperspectral imaging and multivariate analysis

(2011) Mohammed Kamruzzaman et al.   ANALYTICA CHIMICA ACTA

Temporal, biochemical and structural factors that influence beef quality measurement using near infrared spectroscopy

(2009) Katja Rosenvold et al.   MEAT SCIENCE

On-line application of visible and near infrared reflectance spectroscopy to predict chemical–physical and sensory characteristics of beef quality

(2009) N. Prieto et al.   MEAT SCIENCE

Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review

(2009) N. Prieto et al.   MEAT SCIENCE

Near-infrared reflectance spectroscopy for predicting chemical, instrumental and sensory quality of beef

(2008) G. Ripoll et al.   MEAT SCIENCE

Predicting beef tenderness using near-infrared spectroscopy1

(2007) S. R. Rust et al.   JOURNAL OF ANIMAL SCIENCE

The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributes

(2007) S. Andrés et al.   MEAT SCIENCE

Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples

(2007) N. Prieto et al.   MEAT SCIENCE