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Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms

Detalles Bibliográficos
Autor principal: Intelligence and Neuroscience, Computational
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567193/
https://www.ncbi.nlm.nih.gov/pubmed/37829860
http://dx.doi.org/10.1155/2023/9816924
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author Intelligence and Neuroscience, Computational
author_facet Intelligence and Neuroscience, Computational
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spelling pubmed-105671932023-10-12 Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms Intelligence and Neuroscience, Computational Comput Intell Neurosci Retraction Hindawi 2023-10-04 /pmc/articles/PMC10567193/ /pubmed/37829860 http://dx.doi.org/10.1155/2023/9816924 Text en Copyright © 2023 Computational Intelligence and Neuroscience. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Retraction
Intelligence and Neuroscience, Computational
Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title_full Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title_fullStr Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title_full_unstemmed Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title_short Retracted: A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms
title_sort retracted: a crop growth prediction model using energy data based on machine learning in smart farms
topic Retraction
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567193/
https://www.ncbi.nlm.nih.gov/pubmed/37829860
http://dx.doi.org/10.1155/2023/9816924
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