| 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, 2017 | 313 | 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 | 260 | 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 | 202 | 2020 |
| TasselNetv2: in-field counting of wheat spikes with context-augmented local regression networks H Xiong, Z Cao, H Lu, S Madec, L Liu, C Shen Plant methods 15 (1), 150, 2019 | 120 | 2019 |
| 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 | 81 | 2021 |
| 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 | 79 | 2018 |
| 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 | 45 | 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 | 43 | 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 | 34 | 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 | 34 | 2020 |
| SegVeg: Segmenting RGB images into green and senescent vegetation by combining deep and shallow methods M Serouart, S Madec, E David, K Velumani, RL Lozano, M Weiss, F Baret Plant Phenomics, 2022 | 20 | 2022 |
| 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 |
| 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 | 14 | 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 | 7 | 2023 |
| The P2S2 segmentation dataset: annotated in-field multi-crop RGB images acquired under various conditions S Madec, K Irfan, E David, K Velumani, G Daubige, J Labrosse, W Guo, ... 7th International Workshop on Image Analysis Methods in the Plant Sciences …, 2019 | 4 | 2019 |
| How well do EO-based food security warning systems for food security agree? Comparison of NDVI-based vegetation anomaly maps in West Africa A Bégué, S Madec, L Lemettais, L Leroux, R Interdonato, I Becker-Reshef, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023 | 3 | 2023 |
| A double swath configuration for improving throughput and accuracy of trait estimate from UAV images W Li, A Comar, M Weiss, S Jay, G Colombeau, R Lopez-Lozano, S Madec, ... Plant Phenomics, 2021 | 3 | 2021 |
| The p2s2 validation database for decametric resolution crop products: Green area index, fraction of intercepted light, green fraction and chlorophyll content M Weiss, K Irfan, S Madec, F Charron, JF Dejoux, V Demarez, H Gibrin, ... IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 3 | 2019 |
| From prototype to inference: A pipeline to apply deep learning in sorghum panicle detection C James, Y Gu, A Potgieter, E David, S Madec, W Guo, F Baret, ... Plant Phenomics 5, 0017, 2023 | 2 | 2023 |
| Domain adaptation for plant organ detection with style transfer C James, Y Gu, S Chapman, W Guo, E David, S Madec, A Potgieter, ... 2021 Digital Image Computing: Techniques and Applications (DICTA), 1-9, 2021 | 2 | 2021 |
Benoit de SolanARVALIS - Institut du végétal在 arvalisinstitutduvegetal.fr 的电子邮件经过验证
Benoit de SolanARVALIS - Institut du végétal在 arvalisinstitutduvegetal.fr 的电子邮件经过验证
Alexis ComarHIPHEN在 hiphen-plant.com 的电子邮件经过验证