Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique

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Bibliographic Details
Main Author: Journal of Food Quality
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2024/9856198
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author Journal of Food Quality
author_facet Journal of Food Quality
author_sort Journal of Food Quality
collection DOAJ
format Article
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institution OA Journals
issn 1745-4557
language English
publishDate 2024-01-01
publisher Wiley
record_format Article
series Journal of Food Quality
spelling doaj-art-344ac52ee0c74a1d9e711d49dcf2b1002025-08-20T02:24:05ZengWileyJournal of Food Quality1745-45572024-01-01202410.1155/2024/9856198Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning TechniqueJournal of Food Qualityhttp://dx.doi.org/10.1155/2024/9856198
spellingShingle Journal of Food Quality
Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
Journal of Food Quality
title Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
title_full Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
title_fullStr Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
title_full_unstemmed Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
title_short Retracted: A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique
title_sort retracted a novel model to detect and classify fresh and damaged fruits to reduce food waste using a deep learning technique
url http://dx.doi.org/10.1155/2024/9856198
work_keys_str_mv AT journaloffoodquality retractedanovelmodeltodetectandclassifyfreshanddamagedfruitstoreducefoodwasteusingadeeplearningtechnique