Performance Analysis of Time Series Deep Learning Models for Climate Prediction in Indoor Hydroponic Greenhouses at Different Time Intervals

Indoor hydroponic greenhouses are becoming increasingly popular for sustainable food production. On the other hand, precise control of the climate conditions inside these greenhouses is crucial for the success of the crops. Time series deep learning models are adequate for climate predictions in ind...

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Detalles Bibliográficos
Autores principales: Eraliev, Oybek, Lee, Chul-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304734/
https://www.ncbi.nlm.nih.gov/pubmed/37375941
http://dx.doi.org/10.3390/plants12122316

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10304734/
https://www.ncbi.nlm.nih.gov/pubmed/37375941
http://dx.doi.org/10.3390/plants12122316

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