On Lemon Defect Recognition with Visual Feature Extraction and Transfers Learning

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ISSN Print: 2327-7211
ISSN Online: 2327-7203
www.scirp.org/journal/jdaip
E-mail: jdaip@scirp.org

"On Lemon Defect Recognition with Visual Feature Extraction and Transfers Learning"
written by Yizhi He, Tiancheng Zhu, Mingxuan Wang, Hanqing Lu,
published by Journal of Data Analysis and Information Processing, Vol.9 No.4, 2021

has been cited by the following article(s):

[1]	Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
	European Food Research …, 2023

[2]	Achieving High Accuracy in Lemon Quality Classification: A Comparative Study of Deep Learning and Transformer Models
	2023

[3]	Predicting Citrus Limon Maturity with Precision Using Transfer Learning
	… Conference on Recent …, 2023

[4]	Hazelnut quality detection based on deep learning and near-infrared spectroscopy
	Ukrainian Journal of Physical …, 2022

[1]	Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories European Food Research and Technology, 2024 DOI:10.1007/s00217-024-04537-5

[2]	Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network European Food Research and Technology, 2023 DOI:10.1007/s00217-023-04245-6

[3]	Predicting Citrus Limon Maturity with Precision Using Transfer Learning 2023 International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS), 2023 DOI:10.1109/ICRAIS59684.2023.10367152

[4]	Hazelnut quality detection based on deep learning and near-infrared spectroscopy Ukrainian Journal of Physical Optics, 2022 DOI:10.3116/16091833/23/4/267/2022

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