Surface Defect Detection of Fresh-Cut Cauliflowers Based on Convolutional Neural Network with Transfer Learning

A fresh-cut cauliflower surface defect detection and classification model based on a convolutional neural network with transfer learning is proposed to address the low efficiency of the traditional manual detection of fresh-cut cauliflower surface defects. Four thousand, seven hundred and ninety ima...

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Detalles Bibliográficos
Autores principales: Li, Yaodi, Xue, Jianxin, Wang, Kai, Zhang, Mingyue, Li, Zezhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498786/
https://www.ncbi.nlm.nih.gov/pubmed/36141042
http://dx.doi.org/10.3390/foods11182915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498786/
https://www.ncbi.nlm.nih.gov/pubmed/36141042
http://dx.doi.org/10.3390/foods11182915

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