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

7 páginas

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: Artículo
Language:Inglés
Published: Universidad de Tarapacá 2022
Subjects:
Online Access:https://hdl.handle.net/20.500.12955/1992
http://dx.doi.org/10.4067/S0718-34292022000200039
_version_ 1855490569044754432
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_browse Arbizu Berrocal, Carlos Irvin
Chávez Galarza, Julio César
Herrera, Jordán
Porras Jorge, Rossana
Quille Mamani, Javier Alvaro
Saravia Navarro, David
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
collection Repositorio INIA
description 7 páginas
format Artículo
id INIA1992
institution Institucional Nacional de Innovación Agraria
language Inglés
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher Universidad de Tarapacá
publisherStr Universidad de Tarapacá
record_format dspace
spelling INIA19922023-12-20T20:41:27Z 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 7 páginas 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. 2022-11-30T16:58:17Z 2022-11-30T16:58:17Z 2022-03-01 info:eu-repo/semantics/article Quille, J.; Porras, R.; Saravia, D.; Herrera, J.; Chávez, J.; Arbizu, C. & Valqui, L. (2022). Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage. IDESIA, 40(1), 1-7. doi: 10.4067/S0718-34292022000200039. https://hdl.handle.net/20.500.12955/1992 http://dx.doi.org/10.4067/S0718-34292022000200039 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 application/pdf Perú Universidad de Tarapacá CL Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle 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
title 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_short Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
title_sort assessment of vegetation indices derived from uav images for predicting biometric variables in bean during ripening stage
topic Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
url https://hdl.handle.net/20.500.12955/1992
http://dx.doi.org/10.4067/S0718-34292022000200039
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