Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning

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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/10.1155/2024/9890401
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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-85cb0ae93ffc493fa59e5e2b0912ad64
institution Kabale University
issn 1745-4557
language English
publishDate 2024-01-01
publisher Wiley
record_format Article
series Journal of Food Quality
spelling doaj-art-85cb0ae93ffc493fa59e5e2b0912ad642025-02-03T05:55:21ZengWileyJournal of Food Quality1745-45572024-01-01202410.1155/2024/9890401Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine LearningJournal of Food Qualityhttp://dx.doi.org/10.1155/2024/9890401
spellingShingle Journal of Food Quality
Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
Journal of Food Quality
title Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
title_full Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
title_fullStr Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
title_full_unstemmed Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
title_short Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning
title_sort retracted analysis method of agricultural total factor productivity based on stochastic block model sbm and machine learning
url http://dx.doi.org/10.1155/2024/9890401
work_keys_str_mv AT journaloffoodquality retractedanalysismethodofagriculturaltotalfactorproductivitybasedonstochasticblockmodelsbmandmachinelearning