| 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 | 411 | 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 | 280 | 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 | 196 | 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 | 136 | 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 | 135 | 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 | 111 | 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 | 70 | 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 | 68 | 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 | 51 | 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), 1-16, 2018 | 46 | 2018 |
| 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 | 42 | 2014 |
| 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 | 41 | 2019 |
| 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), 1-11, 2017 | 41 | 2017 |
| 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 | 37 | 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 | 31 | 2020 |
| 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 | 23 | 2021 |
| 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 | 20 | 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 | 13 | 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 | 11 | 2021 |
| Applying remote sensing expertise to crop improvement: progress and challenges to scale up high throughput field phenotyping from research to industry D Gouache, K Beauchêne, A Mini, A Fournier, B De Solan, F Baret, ... Autonomous air and ground sensing systems for agricultural optimization and …, 2016 | 4 | 2016 |
Fred BaretINRA-EMMAH-CAPTEVerified email at avignon.inra.fr
