Alexis Comar
Cited by
Cited by
Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery
X Jin, S Liu, F Baret, M Hemerlé, A Comar
Remote Sensing of Environment 198, 105-114, 2017
High-throughput phenotyping of plant height: comparing unmanned aerial vehicles and ground LiDAR estimates
S Madec, F Baret, B De Solan, S Thomas, D Dutartre, S Jezequel, ...
Frontiers in plant science 8, 2002, 2017
Green area index from an unmanned aerial system over wheat and rapeseed crops
A Verger, N Vigneau, C Chéron, JM Gilliot, A Comar, F Baret
Remote Sensing of Environment 152, 654-664, 2014
Exploiting the centimeter resolution of UAV multispectral imagery to improve remote-sensing estimates of canopy structure and biochemistry in sugar beet crops
S Jay, F Baret, D Dutartre, G Malatesta, S Héno, A Comar, M Weiss, ...
Remote Sensing of Environment 231, 110898, 2019
A semi-automatic system for high throughput phenotyping wheat cultivars in-field conditions: description and first results
A Comar, P Burger, B De Solan, F Baret, F Daumard, JF Hanocq
Functional Plant Biology 39 (11), 914-924, 2012
Estimating leaf chlorophyll content in sugar beet canopies using millimeter-to centimeter-scale reflectance imagery
S Jay, N Gorretta, J Morel, F Maupas, R Bendoula, G Rabatel, D Dutartre, ...
Remote Sensing of Environment 198, 173-186, 2017
Leaf-rolling in maize crops: from leaf scoring to canopy-level measurements for phenotyping
F Baret, S Madec, K Irfan, J Lopez, A Comar, M Hemmerlé, D Dutartre, ...
Journal of experimental botany 69 (10), 2705-2716, 2018
Wheat leaf bidirectional reflectance measurements: Description and quantification of the volume, specular and hot-spot scattering features
A Comar, F Baret, F Viénot, L Yan, B De Solan
Remote Sensing of Environment 121, 26-35, 2012
A high-throughput model-assisted method for phenotyping maize green leaf area index dynamics using unmanned aerial vehicle imagery
J Blancon, D Dutartre, MH Tixier, M Weiss, A Comar, S Praud, F Baret
Frontiers in plant science 10, 685, 2019
Estimation of leaf traits from reflectance measurements: Comparison between methods based on vegetation indices and several versions of the PROSPECT model
J Jiang, A Comar, P Burger, P Bancal, M Weiss, F Baret
Plant Methods 14, 1-16, 2018
A method to estimate plant density and plant spacing heterogeneity: Application to wheat crops
S Liu, F Baret, D Allard, X Jin, B Andrieu, P Burger, M Hemmerlé, A Comar
Plant Methods 13, 1-11, 2017
ACT: A leaf BRDF model taking into account the azimuthal anisotropy of monocotyledonous leaf surface
A Comar, F Baret, G Obein, L Simonot, D Meneveaux, F Viénot, ...
Remote Sensing of Environment 143, 112-121, 2014
Estimates of maize plant density from UAV RGB images using faster-RCNN detection model: Impact of the spatial resolution
K Velumani, R Lopez-Lozano, S Madec, W Guo, J Gillet, A Comar, F Baret
Plant Phenomics, 2021
High-throughput measurements of stem characteristics to estimate ear density and above-ground biomass
X Jin, S Madec, D Dutartre, B de Solan, A Comar, F Baret
Plant Phenomics, 2019
Impact of the reproductive organs on crop BRDF as observed from a UAV
W Li, J Jiang, M Weiss, S Madec, F Tison, B Philippe, A Comar, F Baret
Remote Sensing of Environment 259, 112433, 2021
An automatic method based on daily in situ images and deep learning to date wheat heading stage
K Velumani, S Madec, B De Solan, R Lopez-Lozano, J Gillet, J Labrosse, ...
Field Crops Research 252, 107793, 2020
Scoring Cercospora leaf spot on sugar beet: Comparison of UGV and UAV phenotyping systems
S Jay, A Comar, R Benicio, J Beauvois, D Dutartre, G Daubige, W Li, ...
Plant Phenomics, 2020
FASPECT: A model of leaf optical properties accounting for the differences between upper and lower faces
J Jiang, A Comar, M Weiss, F Baret
Remote sensing of environment 253, 112205, 2021
Plant detection and counting from high-resolution RGB images acquired from UAVs: comparison between deep-learning and handcrafted methods with application to maize, sugar beet …
E David, G Daubige, F Joudelat, P Burger, A Comar, B de Solan, F Baret
bioRxiv, 2021.04. 27.441631, 2021
Phenomobile: A fully automatic robot for high-throughput field phenotyping of a large range of crops with active measurements
F Baret, B de Solan, S Thomas, P Burger, S Liu, A Comar, C Rousset, ...
April, 2022
The system can't perform the operation now. Try again later.
Articles 1–20