Effect of rearing conditions on carcass and pork quality attributes of finishing pigs

The effects of sex, housing temperature, feed ingredients and slaughter weight on carcass and meat quality were investigated. A total of three-way crossbred （LWD） 100 pigs were used in a completely randomized design to study the influence of rearing condition, in the growing finishing period, the initial weight, finial weight, live weight, total feeding days, daily weight gain and total feed consumptions affected carcass traits and meat qualities. In conclusion, the rearing condition will give a significant effect on pork and carcass quality so that they can be controlled by changing the raising situation.

Classification of ripening stages of bananas based on support vector machine

Non-destructive quality detection and automatic grading are important in fruit industry.The traditional way divides bananas into 7-level ripening stages based on color.This study investigated the changes of peel color at three positions of banana fingers,i.e.stalk,middle and tip.A support vector machine method was used to classify the ripening stages by color value L*,a*and b*as input data.The ripening stages were classified by 10-fold cross validation method of support vector machines with radial basis function kernel and linear function kernel.The results showed that the color change of middle position of banana finger adequately reflected the changes in banana ripening stages.a*value continuously increased from ripening stage 1 to ripening stage 7,L*and b*values increased from ripening stage 1 to ripening stage 5,and then decreased from ripening stage 5 to ripening stage 7.It was difficult to recognize the ripening stages using L*,a*and b*values individually.The accuracy of classification using support vector machine based on radial basis function kernel reached 96.5%,which was higher than that for linear function kernel.This research can provide a reference for automatic classification of banana ripening stages.