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

Descripción del Articulo

7 páginas
Detalles Bibliográficos
Autores: Quille Mamani, Javier Alvaro, Porras Jorge, Rossana, Saravia Navarro, David, Herrera, Jordán, Chávez Galarza, Julio César, Arbizu Berrocal, Carlos Irvin, Valqui Valqui, Lamberto
Formato: artículo
Fecha de Publicación:2022
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:null:20.500.12955/1992
Enlace del recurso:https://hdl.handle.net/20.500.12955/1992
http://dx.doi.org/10.4067/S0718-34292022000200039
Nivel de acceso:acceso abierto
Materia:Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
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dc.title.es_PE.fl_str_mv 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
spellingShingle Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
Quille Mamani, Javier Alvaro
Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
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
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
Valqui Valqui, Lamberto
author_role author
author2 Porras Jorge, Rossana
Saravia Navarro, David
Herrera, Jordán
Chávez Galarza, Julio César
Arbizu Berrocal, Carlos Irvin
Valqui Valqui, Lamberto
author2_role author
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
Valqui Valqui, Lamberto
dc.subject.es_PE.fl_str_mv Vegetation índice
Precision agricultura
RGB images
topic Vegetation índice
Precision agricultura
RGB images
https://purl.org/pe-repo/ocde/ford#4.05.00
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#4.05.00
description 7 páginas
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-11-30T16:58:17Z
dc.date.available.none.fl_str_mv 2022-11-30T16:58:17Z
dc.date.issued.fl_str_mv 2022-03-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.es_PE.fl_str_mv 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.
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12955/1992
dc.identifier.doi.es_PE.fl_str_mv http://dx.doi.org/10.4067/S0718-34292022000200039
identifier_str_mv 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.
url https://hdl.handle.net/20.500.12955/1992
http://dx.doi.org/10.4067/S0718-34292022000200039
dc.language.iso.es_PE.fl_str_mv eng
language eng
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dc.coverage.spatial.es_PE.fl_str_mv Perú
dc.publisher.es_PE.fl_str_mv Universidad de Tarapacá
dc.publisher.country.es_PE.fl_str_mv CL
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 IrvinValqui Valqui, LambertoPerú2022-11-30T16:58:17Z2022-11-30T16:58:17Z2022-03-01Quille, 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/20.500.12955/1992http://dx.doi.org/10.4067/S0718-342920220002000397 páginasHere, 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.application/pdfengUniversidad de TarapacáCLIDESIAhttps://www.idesia.cl/index.php?option=com_volumenes&view=d&aid=1153&vid=98info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Instituto Nacional de Innovación AgrariaRepositorio Institucional - INIAreponame:INIA-Institucionalinstname:Instituto Nacional de Innovación Agrariainstacron:INIAVegetation índicePrecision agriculturaRGB imageshttps://purl.org/pe-repo/ocde/ford#4.05.00Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stageinfo:eu-repo/semantics/articleORIGINALQuille-et-al_2022_Bean_UAV-Images.pdfQuille-et-al_2022_Bean_UAV-Images.pdfapplication/pdf730276https://repositorio.inia.gob.pe/bitstreams/87c13a94-6c5b-4d2b-acdf-714c66bd2bbe/download2ec74d6a6923025d5b2dd834a7f238c9MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8810https://repositorio.inia.gob.pe/bitstreams/aaddf660-a950-4373-a887-c05dd2ea3fd8/download73abee61e377f73f1d5fc0522cf9cde0MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.inia.gob.pe/bitstreams/f9a15fea-f298-4796-ab57-8abef904a8c5/download8a4605be74aa9ea9d79846c1fba20a33MD53TEXTQuille-et-al_2022_Bean_UAV-Images.pdf.txtQuille-et-al_2022_Bean_UAV-Images.pdf.txtExtracted texttext/plain23545https://repositorio.inia.gob.pe/bitstreams/69a1b408-6273-4790-834d-ac1ec9b5202f/downloadaf39d1ac81ff2e97ad8e5c0bbaf350b3MD54THUMBNAILQuille-et-al_2022_Bean_UAV-Images.pdf.jpgQuille-et-al_2022_Bean_UAV-Images.pdf.jpgGenerated Thumbnailimage/jpeg1572https://repositorio.inia.gob.pe/bitstreams/2911c610-0cc7-454e-ac12-67affb49d568/download7cd4652e36b9bdb2a9906cde7ea8d495MD5520.500.12955/1992oai:repositorio.inia.gob.pe:20.500.12955/19922023-12-20 15:41:27.633http://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/openAccessopen.accesshttps://repositorio.inia.gob.peRepositorio Institucional INIArepositorio@inia.gob.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Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
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