Automatic Classification of Fruit Using Multi-Classifier Fusing

To improve accuracy of the of fruit quality classification,a system is constructed using image processing,pattern recognition and neural networks.Three most representative fruit surface quality conditions obtained from images are used as input to neural networks.Classification results of the neural network classifier are fused to separate the fruits into different quality levels.Experiments show that the system can produce good results of fruit classification.The method can be used in the deep processing of fruits.