Alexis Comar

发表

Interest and limits of UAV and UGV systems for field high-throughput phenotyping.

Frédéric Baret, Antoine Fournier, Aleixandre Verger, 2014 .

Estimates of Maize Plant Density from UAV RGB Images Using Faster-RCNN Detection Model: Impact of the Spatial Resolution

Wei Guo, Raul Lopez-Lozano, Alexis Comar, 2021, Plant phenomics.

ACT: A leaf BRDF model taking into account the azimuthal anisotropy of monocotyledonous leaf surface

Françoise Viénot, Frédéric Baret, Daniel Meneveaux, 2014 .

Wheat leaf bidirectional reflectance measurements: Description and quantification of the volume, specular and hot-spot scattering features

Françoise Viénot, Frédéric Baret, Alexis Comar, 2012 .

Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops

Frédéric Baret, Marie Weiss, Alexis Comar, 2019, Remote Sensing of Environment.

Estimation of leaf traits from reflectance measurements: comparison between methods based on vegetation indices and several versions of the PROSPECT model

Frédéric Baret, Jingyi Jiang, Marie Weiss, 2018, Plant Methods.

A method to estimate plant density and plant spacing heterogeneity: application to wheat crops

Xiuliang Jin, Bruno Andrieu, Denis Allard, 2017, Plant Methods.

Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping

Alexis Comar, Simon Madec, Kamran Irfan, 2017, bioRxiv.

Estimating leaf chlorophyll content in sugar beet canopies using millimeter- to centimeter-scale reflectance imagery

Frédéric Baret, Julien Morel, Nathalie Gorretta, 2017 .