| 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 | 337 | 2017 |
| Ear density estimation from high resolution RGB imagery using deep learning technique S Madec, X Jin, H Lu, B De Solan, S Liu, F Duyme, E Heritier, F Baret Agricultural and forest meteorology 264, 225-234, 2019 | 292 | 2019 |
| Global wheat head detection (GWHD) dataset: A large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ... Plant Phenomics, 2020 | 241 | 2020 |
| GAI estimates of row crops from downward looking digital photos taken perpendicular to rows at 57.5 zenith angle: Theoretical considerations based on 3D architecture models and … F Baret, B de Solan, R Lopez-Lozano, K Ma, M Weiss Agricultural and Forest Meteorology 150 (11), 1393-1401, 2010 | 204 | 2010 |
| 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 | 148 | 2012 |
| Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... Plant Phenomics, 2021 | 102 | 2021 |
| Forcing a wheat crop model with LAI data to access agronomic variables: Evaluation of the impact of model and LAI uncertainties and comparison with an empirical approach R Casa, H Varella, S Buis, M Guérif, B De Solan, F Baret European journal of agronomy 37 (1), 1-10, 2012 | 99 | 2012 |
| Estimating wheat green area index from ground-based LiDAR measurement using a 3D canopy structure model S Liu, F Baret, M Abichou, F Boudon, S Thomas, K Zhao, C Fournier, ... Agricultural and Forest Meteorology 247, 12-20, 2017 | 82 | 2017 |
| 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 | 74 | 2012 |
| 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 | 51 | 2019 |
| 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 | 48 | 2014 |
| Management and Characterization of Abiotic Stress via PhénoField®, a High-Throughput Field Phenotyping Platform K Beauchêne, F Leroy, A Fournier, C Huet, M Bonnefoy, J Lorgeou, ... Frontiers in plant science 10, 904, 2019 | 46 | 2019 |
| Architectural response of wheat cultivars to row spacing reveals altered perception of plant density M Abichou, B De Solan, B Andrieu Frontiers in plant science 10, 999, 2019 | 39 | 2019 |
| Parameterising wheat leaf and tiller dynamics for faithful reconstruction of wheat plants by structural plant models M Abichou, C Fournier, T Dornbusch, C Chambon, B de Solan, ... Field Crops Research 218, 213-230, 2018 | 39 | 2018 |
| 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 | 37 | 2020 |
| Self-supervised plant phenotyping by combining domain adaptation with 3D plant model simulations: Application to wheat leaf counting at seedling stage Y Li, X Zhan, S Liu, H Lu, R Jiang, W Guo, S Chapman, Y Ge, B Solan, ... Plant Phenomics 5, 0041, 2023 | 23 | 2023 |
| 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 | 18 | 2021 |
| Global wheat head dataset 2021: more diversity to improve the benchmarking of wheat head localization methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... arXiv preprint arXiv:2105.07660, 2021 | 17 | 2021 |
| VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation S Madec, K Irfan, K Velumani, F Baret, E David, G Daubige, LB Samatan, ... Scientific Data 10 (1), 302, 2023 | 15 | 2023 |
| Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials SC Chapman, B Zheng, AB Potgieter, W Guo, F Baret, S Liu, S Madec, ... Biophysical and biochemical characterization and plant species studies, 275-299, 2018 | 15 | 2018 |
