On-line inspection of poultry carcasses by a dual-camera system

Simple Multispectral Image Analysis for Systemically Diseased Chicken Identification

“…By comparing the results in tables 3 and 5 with previously reported results (Chao et al, 2002;Park et al, 2002), the classification accuracy of the method in this study is satisfactory. In determining the classification thresholds, only one image feature at a time was presented to CART and the resulting data always formed two clusters.…”

“…Chao et al (2002) developed a multispectral imaging system using 540 and 700 nm wavelengths and obtained accuracies of 94% for wholesome and 87% for unwholesome chicken carcasses. Through hyperspectral imaging, Park et al (2002) achieved 97.3% to 100% accuracy in identifying fecal and ingesta contamination of poultry carcasses using images at the 434, 517, 565, and 628 nm wavelengths.…”

Application of Artificial Neural Networks in Meat Production and Technology

“…There was an interesting study in bovine carcass classification addressing the problem of classifier effect and repeatability in bovine carcass grading (Díez et al, 2003), demonstrating another possible application of ANN for the purposes of monitoring. Much work has also been devoted to the automatic inspection of wholesomeness of chicken carcasses using different optical techniques (Park & Chen, 1994;Chen et al, 1996Chen et al, 1998a,b;Chao et al, 2000Chao et al, , 2002 LD -longissimus dorsi; VIS -visible; NIR -near infrared; R 2 -coefficient of determination; r -correlation coefficient; P -prediction; C -classification; RPD -residual predictive deviation. , 2002).…”

Prediction of mean surface temperature of broiler chicks and load microclimate during transport

“…Several studies have used ANN to predict the production performance in inspecting broiler chicken carcasses through images, separating the healthy from the sick (PARK et al, 1998;CHAO et al, 2002;SALLE et al, 2003). XIONG et al (2015) used an ANN tool to match spectral imaging data spectra and texture, and could differentiate broiler chicken meat reared in the outdoors and Aérica C. Nazareno, Iran J. O. da Silva, Danielle P. B. Fernandes…”