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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Main Authors: Belén Carro, Gonzalo Ruiz-Ruiz, Jaime Gomez-Gil, Javier M. Aguiar, Luis M. Navas-Gracia, Víctor Martínez-Martínez, Carlos Baladrón
Formato: Artigo
Idioma:Inglês
Publicado: MDPI AG 2012-10-01
Series:Sensors
Assuntos:
estimation
prediction
Artificial Neural Networks (ANN)
tobacco drying process
signal processing
Acceso en liña:http://www.mdpi.com/1424-8220/12/10/14004
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