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

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

This study proposes a double-track method for the classification of fruit varieties for application in retail sales. The method uses two nine-layer Convolutional Neural Networks (CNNs) with the same architecture, but different weight matrices. The first network classifies fruits according to images...

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Bibliographic Details
Main Authors: Rudnik Katarzyna, Michalski Paweł
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
convolutional neural network
deep neural network
fruit classification
fruit recognition
certainty factor
Online Access:https://www.mdpi.com/2076-3417/9/19/3971

Internet

https://www.mdpi.com/2076-3417/9/19/3971

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