A study on classification of fruit type and fruit disease

Abstract

with the rise of biotechnology, the similarity between fruits is growing, which has some impact on our lives. Hence, it needs to design a system to classify the types of fruits. If the fruit is placed over a certain period of time, it will be infected. Meanwhile, it is also important to classify the disease of fruits. In this paper, we introduce several approaches to classify the type of fruits and fruit diseases automatically. Finally, we make an overall comparison based on these methods.

A Vision-Based Method Utilizing Deep Convolutional Neural Networks for Fruit Variety Classification in Uncertainty Conditions of Retail Sales

“…A fruit classifier based on additional extraction of color chromaticity was presented in [7]. A number of other studies [8] indicated that fruit recognition can be also provided by other classification methods such as fuzzy support vector machine, linear regression classifier, twin support vector machine, sparse autoencoder, classification tree, logistic regression, etc.…”