Computerized Classification of Fruits using Convolution Neural Network

Now a days automation in every field becomes common. While coming to the agriculture field, it has become necessity for classification of fruits, leaves, soils, climatic conditions for better yielding of farming. Among these classification of fruits is very essential and challenging task as many fruits looks a like interms of colour, shape, size. It is very much needed for computerised detection of diseases in a fruits where early detection protects from damaging the entire crop. Here classification of fruits has become the first step in detection of fruits diseases. Here Convolution Neural Network(CNN) based classification method is proposed which gives a better classification result of 90% compared to other proposed methodologies till now. Experiments are held with the dataset of 200 images of fruits in which apple fruit images are 50, mango 50, orange 50 and the remaining 50 are grapes.