2026-04-13T07:00:14Zhttps://recercat.cat/oai/request

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

00925njm 22002777a 4500 dc Sandoval, José author Gor, Sergio author Ramallo, Jacqueline author Sfer, Ana author Colombo, Elisa author Vilaseca Ricart, Meritxell author Pujol Ramo, Jaume author 2012 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) 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 Spectral signatures : a way to identify species and conditions of vegetables