Version 1
: Received: 3 June 2021 / Approved: 4 June 2021 / Online: 4 June 2021 (11:25:04 CEST)
How to cite:
Quille-Mamani, J.; Porras-Jorge, R.; Saravia-Navarro, D.; Herrera, J.; Chavez-Galarza, J.; Arbizu, C.I. Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints2021, 2021060139. https://doi.org/10.20944/preprints202106.0139.v1
Quille-Mamani, J.; Porras-Jorge, R.; Saravia-Navarro, D.; Herrera, J.; Chavez-Galarza, J.; Arbizu, C.I. Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints 2021, 2021060139. https://doi.org/10.20944/preprints202106.0139.v1
Quille-Mamani, J.; Porras-Jorge, R.; Saravia-Navarro, D.; Herrera, J.; Chavez-Galarza, J.; Arbizu, C.I. Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (Phaseolus vulgaris L.) During Ripening Stage. Preprints2021, 2021060139. https://doi.org/10.20944/preprints202106.0139.v1
APA Style
Quille-Mamani, J., Porras-Jorge, R., Saravia-Navarro, D., Herrera, J., Chavez-Galarza, J., & Arbizu, C.I. (2021). Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (<em>Phaseolus vulgaris L.</em>) During Ripening Stage. Preprints. https://doi.org/10.20944/preprints202106.0139.v1
Chicago/Turabian Style
Quille-Mamani, J., Julio Chavez-Galarza and Carlos I. Arbizu. 2021 "Prediction of Biometric Variables Through Multispectral Images Obtained From Uav in Beans (<em>Phaseolus vulgaris L.</em>) During Ripening Stage" Preprints. https://doi.org/10.20944/preprints202106.0139.v1
Abstract
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.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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