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Spectral signatures : a way to identify species and conditions of vegetables

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Cita com:
hdl:2117/15996

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Sandoval, José
Gor, Sergio
Ramallo, Jacqueline
Sfer, Ana
Colombo, Elisa
Vilaseca Ricart, MeritxellMés informacióMés informacióMés informació
Pujol Ramo, JaumeMés informacióMés informacióMés informació
Document typePart of book or chapter of book
Defense date2012
PublisherCRC Press
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
Abstract
Confirming the statement from Shlens (2009), that is, that the goal of PCA is to identify the most meaningful basis to reexpress a dataset, the results obtained in this work show that the careful selection and suitable preparation of samples together with the precise collection of spectral signature data and the application of an adequate statistical analysis like PCA conform a powerful and reliable technique to recognize and classify plants, allowing us to identify the origin of a given vegetable sample. That technique could be considerably improved by developing a database of standardized spectral signatures of the main crops in each stage and status. This could be the basis for higher level of plant and crop analysis, allowing us the prediction, diagnosis, and solution of different health and phenologic affections of plants.
CitationSandoval, J. [et al.]. Spectral signatures : a way to identify species and conditions of vegetables. A: "Color in food : technological and psychophysical aspects". CRC Press, 2012, p. 283-296. 
URIhttp://hdl.handle.net/2117/15996
ISBN978-1-4398-7693-0
Publisher versionhttp://www.crcnetbase.com/
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  • GREO - Grup de Recerca en Enginyeria Òptica - Capítols de llibre [8]
  • Departament d'Òptica i Optometria - Capítols de llibre [16]
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