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1.
Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping.
J Exp Bot
; 69(10): 2705-2716, 2018 04 27.
Artículo
en Inglés
| MEDLINE | ID: mdl-29617837
2.
A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images.
Plant Phenomics
; 2021: 9892647, 2021.
Artículo
en Inglés
| MEDLINE | ID: mdl-34957414
3.
High-Throughput Measurements of Stem Characteristics to Estimate Ear Density and Above-Ground Biomass.
Plant Phenomics
; 2019: 4820305, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-33313528
4.
A High-Throughput Model-Assisted Method for Phenotyping Maize Green Leaf Area Index Dynamics Using Unmanned Aerial Vehicle Imagery.
Front Plant Sci
; 10: 685, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-31231403
5.
Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model.
Plant Methods
; 14: 23, 2018.
Artículo
en Inglés
| MEDLINE | ID: mdl-29581726
6.
A method to estimate plant density and plant spacing heterogeneity: application to wheat crops.
Plant Methods
; 13: 38, 2017.
Artículo
en Inglés
| MEDLINE | ID: mdl-28529535
7.
High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates.
Front Plant Sci
; 8: 2002, 2017.
Artículo
en Inglés
| MEDLINE | ID: mdl-29230229
8.
A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results.
Funct Plant Biol
; 39(11): 914-924, 2012 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-32480841
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