Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality

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Bibliographic Details
Main Author: Journal of Food Quality
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2023/9809860
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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
id doaj-art-17f80edc8070474c88f1e028a1ddd65c
institution Kabale University
issn 1745-4557
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Food Quality
spelling doaj-art-17f80edc8070474c88f1e028a1ddd65c2025-08-20T03:54:21ZengWileyJournal of Food Quality1745-45572023-01-01202310.1155/2023/9809860Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and QualityJournal of Food Qualityhttp://dx.doi.org/10.1155/2023/9809860
spellingShingle Journal of Food Quality
Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
Journal of Food Quality
title Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
title_full Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
title_fullStr Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
title_full_unstemmed Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
title_short Retracted: An IoT and Machine Learning-Based Model to Monitor Perishable Food towards Improving Food Safety and Quality
title_sort retracted an iot and machine learning based model to monitor perishable food towards improving food safety and quality
url http://dx.doi.org/10.1155/2023/9809860
work_keys_str_mv AT journaloffoodquality retractedaniotandmachinelearningbasedmodeltomonitorperishablefoodtowardsimprovingfoodsafetyandquality