2026-04-13T01:35:28Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/159962025-07-17T11:33:58Zcom_2072_1033col_2072_452950

urn:hdl:2117/15996 Spectral signatures : a way to identify species and conditions of vegetables Sandoval, José Gor, Sergio Ramallo, Jacqueline Sfer, Ana Colombo, Elisa Vilaseca Ricart, Meritxell Pujol Ramo, Jaume Àrees temàtiques de la UPC::Enginyeria agroalimentària::Indústries agroalimentàries Àrees temàtiques de la UPC::Ciències de la visió::Òptica física::Color Color of food Aliments -- Color 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. Peer Reviewed Postprint (published version) 2012 Part of book or chapter of book http://www.crcnetbase.com/ Restricted access - publisher's policy CRC Press