Temperature and Relative Humidity Estimation and Prediction in the Tobacco Drying Process Using Artificial Neural Networks

This paper presents a system based on an Artificial Neural Network (ANN) for estimating and predicting environmental variables related to tobacco drying processes. This system has been validated with temperature and relative humidity data obtained from a real tobacco dryer with a Wireless Sensor Net...

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Detalles Bibliográficos
Autores principales: Martínez-Martínez, Víctor, Baladrón, Carlos, Gomez-Gil, Jaime, Ruiz-Ruiz, Gonzalo, Navas-Gracia, Luis M., Aguiar, Javier M., Carro, Belén
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545603/
https://www.ncbi.nlm.nih.gov/pubmed/23202032
http://dx.doi.org/10.3390/s121014004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3545603/
https://www.ncbi.nlm.nih.gov/pubmed/23202032
http://dx.doi.org/10.3390/s121014004

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