Quantization of moisture content in yerba mate leaves through image processing

The Yerba Mate quality is defined by estimating the product moisture content. This value allows adjusting the production system, by controlling the stake of the dryer to ensure the product quality. Currently this process is done manually. However, this paper presents a first approach method to estim...

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Guardado en:
Detalles Bibliográficos
Autores principales: Leiva, Lucas, Acosta, Nelson
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Neural nets
Signal processing
Real time
Yerba Mate moisture quantization
image processing
artificial neural networks
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23812
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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