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https://hdl.handle.net/20.500.12955/1992
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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Quille Mamani, Javier Alvaro | - |
dc.contributor.author | Porras Jorge, Rossana | - |
dc.contributor.author | Saravia Navarro, David | - |
dc.contributor.author | Herrera, Jordán | - |
dc.contributor.author | Chávez Galarza, Julio César | - |
dc.contributor.author | Arbizu Berrocal, Carlos Irvin | - |
dc.contributor.author | Valqui Valqui, Lamberto | - |
dc.coverage.spatial | Perú | es_PE |
dc.date.accessioned | 2022-11-30T16:58:17Z | - |
dc.date.available | 2022-11-30T16:58:17Z | - |
dc.date.issued | 2022-03-01 | - |
dc.identifier.citation | 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. | es_PE |
dc.identifier.uri | https://hdl.handle.net/20.500.12955/1992 | - |
dc.description | 7 páginas | es_PE |
dc.description.abstract | 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. | es_PE |
dc.format | application/pdf | es_PE |
dc.language.iso | eng | es_PE |
dc.publisher | Universidad de Tarapacá | es_PE |
dc.relation.ispartofseries | IDESIA | es_PE |
dc.rights | info:eu-repo/semantics/openAccess | es_PE |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | Instituto Nacional de Innovación Agraria | es_PE |
dc.source.uri | Repositorio Institucional - INIA | es_PE |
dc.subject | Vegetation índice | es_PE |
dc.subject | Precision agricultura | es_PE |
dc.subject | RGB images | es_PE |
dc.title | Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage | es_PE |
dc.type | info:eu-repo/semantics/article | es_PE |
dc.subject.ocde | https://purl.org/pe-repo/ocde/ford#4.05.00 | es_PE |
dc.relation.publisherversion | https://www.idesia.cl/index.php?option=com_volumenes&view=d&aid=1153&vid=98 | es_PE |
dc.publisher.country | CL | es_PE |
dc.identifier.doi | http://dx.doi.org/10.4067/S0718-34292022000200039 | es_PE |
Aparece en las colecciones: | Artículos científicos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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Quille-et-al_2022_Bean_UAV-Images.pdf | 713,16 kB | Adobe PDF | Visualizar/Abrir |
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