Quality grading of the fruits and vegetables using image processing techniques and machine learning: a review

Abstract

In this paper, the study on fruits and vegetables grading system by using image processing techniques with various machine learning algorithms is presented. In our study, we observed that the images of fruits are used for analyzing about fruits. The parameters like shape, size and color of the samples are extracted for grading the fruits’ quality. Some of the research has done on fruit disease classification. Different techniques like color-based segmentation, artificial neural networks and different classifiers can be used to classify the grade or diseases of the sample. This review work is to provide a study of some machine learning techniques and morphological features with color-based grading for fruits and vegetables. The authors have proposed a hybrid system of fruit grading and disease detection system.