Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage

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Here, we report the prediction of vegetative stages variables of canary bean crop by means of 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 c...

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Detalles Bibliográficos
Autores: Quille Mamani, Javier Alvaro, Porras Jorge, Rossana, Saravia Navarro, David, Herrera, Jordán, Chávez Galarza, Julio César, Arbizu Berrocal, Carlos Irvin
Formato: documento de trabajo
Fecha de Publicación:2021
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:null:20.500.12955/1854
Enlace del recurso:https://hdl.handle.net/20.500.12955/1854
https://doi.org/10.20944/preprints202106.0139.v1
Nivel de acceso:acceso abierto
Materia:Vegetation índices
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.04.00
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dc.title.es_PE.fl_str_mv Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
title Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
spellingShingle Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
Quille Mamani, Javier Alvaro
Vegetation índices
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.04.00
title_short Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
title_full Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
title_fullStr Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
title_full_unstemmed Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
title_sort Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
author Quille Mamani, Javier Alvaro
author_facet Quille Mamani, Javier Alvaro
Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
author_role author
author2 Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Quille Mamani, Javier Alvaro
Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
dc.subject.es_PE.fl_str_mv Vegetation índices
Precision agricultura
RGB images
topic Vegetation índices
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.04.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.04.00
description Here, we report the prediction of vegetative stages variables of canary bean crop by means of 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 RGB image vegetation indices for the canary bean crop, which were used for predictive models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2022-09-05T17:01:12Z
dc.date.available.none.fl_str_mv 2022-09-05T17:01:12Z
dc.date.issued.fl_str_mv 2021-06-04
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/workingPaper
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dc.identifier.citation.es_PE.fl_str_mv Quille, J.; Porras, R.; Saravia, D.; Herrera, J.; Chavez, J.; Arbizu, C.I. (2021). Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints, 2021060139. doi: 10.20944/preprints202106.0139.v1
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12955/1854
dc.identifier.journal.es_PE.fl_str_mv Preprints
dc.identifier.doi.none.fl_str_mv https://doi.org/10.20944/preprints202106.0139.v1
identifier_str_mv Quille, J.; Porras, R.; Saravia, D.; Herrera, J.; Chavez, J.; Arbizu, C.I. (2021). Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints, 2021060139. doi: 10.20944/preprints202106.0139.v1
Preprints
url https://hdl.handle.net/20.500.12955/1854
https://doi.org/10.20944/preprints202106.0139.v1
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.relation.publisherversion.es_PE.fl_str_mv https://doi.org/10.20944/preprints202106.0139.v1
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dc.publisher.country.es_PE.fl_str_mv Suiza
dc.source.es_PE.fl_str_mv Instituto Nacional de Innovación Agraria
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spelling Quille Mamani, Javier AlvaroPorras Jorge, RossanaSaravia Navarro, DavidHerrera, JordánChávez Galarza, Julio CésarArbizu Berrocal, Carlos IrvinPerú2022-09-05T17:01:12Z2022-09-05T17:01:12Z2021-06-04Quille, J.; Porras, R.; Saravia, D.; Herrera, J.; Chavez, J.; Arbizu, C.I. (2021). Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints, 2021060139. doi: 10.20944/preprints202106.0139.v1https://hdl.handle.net/20.500.12955/1854Preprintshttps://doi.org/10.20944/preprints202106.0139.v1Here, we report the prediction of vegetative stages variables of canary bean crop by means of 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 RGB image vegetation indices for the canary bean crop, which were used for predictive models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations.Abstract. 1. Introduction. 2. Materials and Methods. 3. Results. 4. Discussion and conclusions. 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Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
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