Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains
Abstract Water stress due to soil water deficit is one of the limitations in the soybean production, which can be detected with multivariate statistical analysis and spectral reflectance signals, in the visible and near infrared range. This work was conducted to determine a spectral pattern during the stages of plant development from three conditions of soil water content. Cross validation was used in the classification model, obtaining an accuracy of 82.5%, and a mean sensitivity and specificity of 82 and 90%, respectively, at the phenological state of pod filling. Regions with the highest correlation between factors and wavelengths were located at 400-600 nm and 1850-2100 nm, which are related with the peaks of water energy absorbance associated to the hydric state of the plant.
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Universidad Nacional de Colombia
2019
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oai:scielo:S0012-735320190003001252020-03-02Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont PlainsGutiérrez-Rodríguez,Betty JazmínArgüello-Tovar,José OrlandoGarcía-Navarrete,Oscar Leonardo hyperspectral discriminant analysis water deficit soybean. Abstract Water stress due to soil water deficit is one of the limitations in the soybean production, which can be detected with multivariate statistical analysis and spectral reflectance signals, in the visible and near infrared range. This work was conducted to determine a spectral pattern during the stages of plant development from three conditions of soil water content. Cross validation was used in the classification model, obtaining an accuracy of 82.5%, and a mean sensitivity and specificity of 82 and 90%, respectively, at the phenological state of pod filling. Regions with the highest correlation between factors and wavelengths were located at 400-600 nm and 1850-2100 nm, which are related with the peaks of water energy absorbance associated to the hydric state of the plant.info:eu-repo/semantics/openAccessUniversidad Nacional de ColombiaDYNA v.86 n.210 20192019-07-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532019000300125en10.15446/dyna.v86n210.78703 |
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Gutiérrez-Rodríguez,Betty Jazmín Argüello-Tovar,José Orlando García-Navarrete,Oscar Leonardo |
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Gutiérrez-Rodríguez,Betty Jazmín Argüello-Tovar,José Orlando García-Navarrete,Oscar Leonardo Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
author_facet |
Gutiérrez-Rodríguez,Betty Jazmín Argüello-Tovar,José Orlando García-Navarrete,Oscar Leonardo |
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Gutiérrez-Rodríguez,Betty Jazmín |
title |
Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
title_short |
Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
title_full |
Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
title_fullStr |
Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
title_full_unstemmed |
Use of VIS-NIR-SWIR spectroscopy for the prediction of water status in soybean plants in the Colombian Piedmont Plains |
title_sort |
use of vis-nir-swir spectroscopy for the prediction of water status in soybean plants in the colombian piedmont plains |
description |
Abstract Water stress due to soil water deficit is one of the limitations in the soybean production, which can be detected with multivariate statistical analysis and spectral reflectance signals, in the visible and near infrared range. This work was conducted to determine a spectral pattern during the stages of plant development from three conditions of soil water content. Cross validation was used in the classification model, obtaining an accuracy of 82.5%, and a mean sensitivity and specificity of 82 and 90%, respectively, at the phenological state of pod filling. Regions with the highest correlation between factors and wavelengths were located at 400-600 nm and 1850-2100 nm, which are related with the peaks of water energy absorbance associated to the hydric state of the plant. |
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Universidad Nacional de Colombia |
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2019 |
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http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0012-73532019000300125 |
work_keys_str_mv |
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