Exploring the relationship of colour categorization with pork colour standards under different subjective and objective conditions.

The impact of using incorrect lighting while subjectively scoring pork colour with subjective standards (Japanese, Canadian, and Kodak grey) was explored. Lightness was more important than a good colour match between standards and meat. Subjective and image-based automated scoring with Canadian standards were correlated at 0.

A new manual method for pork belly firmness measurement.

A new objective and standardized method for early determination of firmness of the intact pork belly in a research environment is described, and compared to the existing bar-bend method. The belly characteristics that contribute to the outcome of each method, and the relationship between the two methods are identified. •Original method requires a ribbed pork belly, and several minutes relaxation time.

Developing an alternative classification method for predicting ham composition using linear measurements from the cross-sectional ham surface.

Digital image analysis based on the ham cross-sectional face was used to measure two lean muscle and three subcutaneous fat locations from 248 bone-in hams. Linear measurements of the two selected fat locations were used to predict dual-energy X-ray (DXA) fat or lean percentages with prediction accuracies (R) of 0.7 in a stepwise regression eq.

Evaluating the effect of temperature and multiple bends on an automated pork belly firmness conveyor belt classification system.

Skin-on, and bone-in bellies (n = 94) were cut into Canadian specifications and assessed on an automated conveyor belt system based on different levels of firmness. Temperature settings at 4 °C, 2 °C, and - 1.5 °C had significant effect (P < 0.

Performance of a Handheld Near-Infrared Spectroscopy Device to Predict Pork Primal Belly Fat Iodine Value and Loin Lean Intramuscular Fat Content.

The increase in market demand and economic value of Canadian pork primal cuts has led to a need to assess advanced technologies capable of measuring quality traits. Fat and lean composition were measured using a Tellspec near-infrared (NIR) spectroscopy device to predict the pork belly fat iodine value (IV) and loin lean intramuscular fat (IMF) content in 158 pork belly primals and 419 loin chops. The calibration model revealed a 90.