Fruits Quality Detection using Deep Learning Models: A Meta- Analysis
Author:
Affiliation:
1. Kongu Engineering College,Department of Computer Applications,Erode,India
2. Kristu Jayanti College,Department of Computer Science,Bengaluru,India
3. University of Technology and Applied Sciences,Department of IT,Ibri,Oman
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9885261/9885247/09885289.pdf?arnumber=9885289
Reference28 articles.
1. Fruit Classification for Retail Stores Using Deep Learning
2. Detection and Counting of Fruit Trees from RGB UAV Images by Convolutional Neural Networks Approach
3. Fruit quality and defect image classification with conditional GAN data augmentation
4. Fruits Classification using Convolutional Neural Network;khatun;GRD Journals- Global Research and Development Journal for Engineering,2020
5. Analysis of Convolutional Neural Network based Image Classification Techniques
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