Gallian Colombeau's research works

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A Double Swath Configuration for Improving Throughput and Accuracy of Trait Estimate from UAV Images

Article

Full-text available

Dec 2021

Multispectral observations from unmanned aerial vehicles (UAVs) are currently used for precision agriculture and crop phenotyping applications to monitor a series of traits allowing the characterization of the vegetation status. However, the limited autonomy of UAVs makes the completion of flights difficult when sampling large areas. Increasing the...

UAV very high-resolution observations to quantify vegetation state, phenology and health

Poster

Full-text available

May 2019

Hardware Software Structural traits Leaf traits Dynamics of traits Conclusion High resolution RGB camera + 6000 x 4000 pixels + Pixel size: 3.93 µm + Focal length: 30-60 mm + Weight: 500 g with lens Footprint 4,2mm Footprint 8mm AIRPHEN multispectral camera + 1080 x 960 pixels + 6 configurable bands + Pixel size: 3.04 µm + Focal length: 4.2-8 mm +...

High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates

Article

Full-text available

Nov 2017

The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was conducted. Frequent LiDAR measurements were performed along the growth cycle using a phénomobile unmann...