Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage

Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage

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Here, we report the prediction of vegetative stages variables of canary bean crop employing RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight vegetation indices derived from UAV images from the canary bean, which were evaluated by multiple regression models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations.

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Bibliographic Details
Main Authors: Quille Mamani, Javier Alvaro, Porras Jorge, Rossana, Saravia Navarro, David, Herrera, Jordán, Chávez Galarza, Julio César, Arbizu Berrocal, Carlos Irvin, Valqui Valqui, Lamberto
Format: info:eu-repo/semantics/article biblioteca
Language:eng
Published: Universidad de Tarapacá
Subjects:Vegetation índice, Precision agricultura, RGB images, https://purl.org/pe-repo/ocde/ford#4.05.00,
Online Access:https://hdl.handle.net/20.500.12955/1992
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spelling dig-inia-pe-20.500.12955-19922023-06-22T21:05:45Z Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage Quille Mamani, Javier Alvaro Porras Jorge, Rossana Saravia Navarro, David Herrera, Jordán Chávez Galarza, Julio César Arbizu Berrocal, Carlos Irvin Valqui Valqui, Lamberto Vegetation índice Precision agricultura RGB images https://purl.org/pe-repo/ocde/ford#4.05.00 Here, we report the prediction of vegetative stages variables of canary bean crop employing RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight vegetation indices derived from UAV images from the canary bean, which were evaluated by multiple regression models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations. 2022-03 info:eu-repo/semantics/article https://hdl.handle.net/20.500.12955/1992 eng IDESIA https://www.idesia.cl/index.php?option=com_volumenes&view=d&aid=1153&vid=98 info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf Universidad de Tarapacá Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
institution INIA PE
collection DSpace
country Perú
countrycode PE
component Bibliográfico
access En linea
databasecode dig-inia-pe
tag biblioteca
region America del Sur
libraryname Biblioteca del INIA Perú
language eng
topic Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
spellingShingle Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
Quille Mamani, Javier Alvaro
Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
Valqui Valqui, Lamberto
Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
description Here, we report the prediction of vegetative stages variables of canary bean crop employing RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight vegetation indices derived from UAV images from the canary bean, which were evaluated by multiple regression models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations.
format info:eu-repo/semantics/article
topic_facet Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
author Quille Mamani, Javier Alvaro
Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
Valqui Valqui, Lamberto
author_facet Quille Mamani, Javier Alvaro
Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
Valqui Valqui, Lamberto
author_sort Quille Mamani, Javier Alvaro
title Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_short Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_full Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_fullStr Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_full_unstemmed Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_sort assessment of vegetation índices derived from uav images for predicting biometric variables in bean during ripening stage
publisher Universidad de Tarapacá
url https://hdl.handle.net/20.500.12955/1992
work_keys_str_mv AT quillemamanijavieralvaro assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT porrasjorgerossana assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT saravianavarrodavid assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT herrerajordan assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT chavezgalarzajuliocesar assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT arbizuberrocalcarlosirvin assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
AT valquivalquilamberto assessmentofvegetationindicesderivedfromuavimagesforpredictingbiometricvariablesinbeanduringripeningstage
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