ANN based Technique for Vegetable Quality Detection

Use of image processing technique is increasing day by day in all fields. In agriculture it is also used to check the quality of vegetables and fruits. Shape, colour and size are the image features which help in quality detection of vegetables. In this paper proposed method is used to increase the accuracy of the vegetable quality detection by using colour, shape, and size based method with combination of artificial neural network (ANN). It grades and classifies vegetable images based on obtained feature values by using cascaded forward network. The proposed system starts the process by capturing the vegetable’s image. Then, the image is transmitted to the processing level where the vegetable features like colour, shape and size of vegetable samples are extracted. After that by using artificial neural network vegetable images are going through the training and testing. Artificial neural network detect the quality of vegetables by using the shape colour and size features provided at the time of training and also the extracted features of vegetables and provides the result by comparing these features. In this proposed paper neural network is used to detect shape, size and colour of vegetable and with the combination of these three features the results obtained are very promising.