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

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.

Bibliographic Details

Main Authors:	Quille Mamani, Javier Alvaro, Porras Jorge, Rossana, Saravia Navarro, David, Herrera, Jordán, Chávez Galarza, Julio César, Arbizu Berrocal, Carlos Irvin
Format:	info:eu-repo/semantics/workingPaper biblioteca
Language:	eng
Published:	MDPI
Subjects:	Vegetation índices, Precision agricultura, RGB images, https://purl.org/pe-repo/ocde/ford#4.04.00,
Online Access:	https://hdl.handle.net/20.500.12955/1854
Tags:	Add Tag No Tags, Be the first to tag this record!