| On the Use of Circadian Cycles to Monitor Individual Young Plants M Cordier, C Torres, P Rasti, D Rousseau Remote Sensing 15 (11), 2704, 2023 | 4 | 2023 |
| Growth Data—An automatic solution for seedling growth analysis via RGB-Depth imaging sensors G Couasnet, M Cordier, H Garbouge, F Mercier, D Pierre, A El Ghaziri, ... SoftwareX 24, 101572, 2023 | 2 | 2023 |
| Leaf segmentation of seedlings using foundation model on RGB-Depth images M CORDIER, H METUAREA, C TORRES, F Vilmorin-Mikado, P RASTI, ... ICCV Computer vision for plant phenotyping and agriculture workshop, 2023 | 1 | 2023 |
| Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss M Cordier, P Rasti, C Torres, D Rousseau Plant Phenomics 6, 0204, 2024 | | 2024 |
| Affordable Phenotyping at the Edge for High-Throughput Detection of Hypersensitive Reaction Involving Cotyledon Loss M Cordier, P Rasti, C Torres, D Rousseau Plant Phenomics 6, 2024 | | 2024 |
| Développement d'un système de surveillance épidémiologique automatisé de la cercosporiose de la betterave [CERCOCAP] M Cordier, F Joudelat, AA Oussayer, D Rousseau 13ème Conférence internationale sur les maladies des plantes (CIMA), 2022 | | 2022 |
| Network of Low-Cost RGB-Depth Cameras and Mini-Computers for High-Throughput Monitoring of Plant Stress Response C Mathis, R Pejman, T Cindy, R David Plant Speed Breeding and High-throughput Technologies, 168-186, 0 | | |
| Optimisation de l’échelle d’observation pour l’annotation d’images M CORDIER, P RASTI, C TORRES, D ROUSSEAU | | |
