Quille Mamani, Javier AlvaroPorras Jorge, RossanaSaravia Navarro, DavidHerrera, JordánChávez Galarza, Julio CésarArbizu Berrocal, Carlos IrvinValqui Valqui, Lamberto2022-11-302022-11-302022-03-01Quille, 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/20.500.12955/19927 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/pdfenginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Vegetation índicePrecision agriculturaRGB imagesinfo:eu-repo/semantics/articlehttps://purl.org/pe-repo/ocde/ford#4.05.00http://dx.doi.org/10.4067/S0718-34292022000200039