Utilizacao de um sistema de visao artificial para estimativa do teor de umidade de frutos de café
Therefore, this study aimed to correlate the color and moisture content, by using the chromatic information of the spectral signature within the visible range of coffee cherries, as well as to develop a neutral network in order to evaluate the moisture content based on digital images of the cherries. Cherry samples from different coffee shrubs of the of the Catuaí Vermelho cv. were manually harvested at random by three trained workers, who also performed the visual classification of the harvested cherries, by dividing them into three categories, that is ripe, green, and over-ripen.
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| Main Authors: | , , , |
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| Format: | biblioteca |
| Published: |
2003
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| Subjects: | BENEFICIO, CLASIFICACION DEL GRANO, COFFEA ARABICA, FRUTO, COSECHA, CONTENIDO DE HUMEDAD, MADURACION, DESARROLLO BIOLOGICO, METODOS, |
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| Summary: | Therefore, this study aimed to correlate the color and moisture content, by using the chromatic information of the spectral signature within the visible range of coffee cherries, as well as to develop a neutral network in order to evaluate the moisture content based on digital images of the cherries. Cherry samples from different coffee shrubs of the of the Catuaí Vermelho cv. were manually harvested at random by three trained workers, who also performed the visual classification of the harvested cherries, by dividing them into three categories, that is ripe, green, and over-ripen. |
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