2024-03-28T17:49:39Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/70872020-12-10T09:02:47Zcom_10612_17col_10612_18
BULERIA. Repositorio Institucional de la Universidad de León
author
Ordóñez, Celestino
author
Oviedo de la Fuente, Manuel
author
Roca-Pardiñas, Javier
author
Rodríguez Pérez, José Ramón, 1968-
other
Ingeniería Cartografica, Geodesica y Fotogrametria
2018-01-12T13:20:20Z
2018-01-12T13:20:20Z
2018-01-12
Chemometrics and Intelligent Laboratory Systems, 2018, n. 172
http://hdl.handle.net/10612/7087
This paper proposes a method to estimate leaf water content from reflectance in four commercial vineyard varieties
by estimating the local maxima of a distance correlation function. First, it applies four different functional
regression models to the data and compares the models to test the viability of estimating water content from
reflectance. It then applies our methodology to select a small number of wavelengths (optimum wavelengths)
from the continuous spectrum, which simplifies the regression problem. Finally, it compares the results to those
obtained by means of two different methods: a nonparametric kernel smoothing for variable selection in functional
data and a wavelet-based weighted LASSO functional linear regression. Our approach proved to have some
advantages over these two testing approaches, mainly in terms of the computing time and the lack of assumption
of an underlying model. Finally the paper concludes that estimating water content from a few wavelengths is
almost equivalent to doing so using larger wavelength intervals
Ingeniería agrícola
Determining optimum wavelengths for leaf water content estimation from re ectance: a distance correlation approach
info:eu-repo/semantics/article
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
URL
https://buleria.unileon.es/bitstream/10612/7087/1/Embargado%2012%20meses.pdf
File
MD5
017083d9c7b78fe6100e9f56c29ebf75
6284124
application/pdf
Embargado 12 meses.pdf
URL
https://buleria.unileon.es/bitstream/10612/7087/3/Embargado%2012%20meses.pdf.txt
File
MD5
3fd1a40f7bfb5e317ee2ba9b692b0c27
58959
text/plain
Embargado 12 meses.pdf.txt