Publications (4)
2025
3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy (Davis et al. 2025)Davis, J. M., Gaillard, M., Tross, M. C., Shrestha, N., Ostermann, I., Grove, R. J., Li, B., Benes, B., & Schnable, J. C. (2025). 3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy. Plant Phenomics, 100023. https://doi.org/https://doi.org/10.1016/j.plaphe.2025.100023
-
3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy (Davis et al. 2025)
Davis, J. M., Gaillard, M., Tross, M. C., Shrestha, N., Ostermann, I., Grove, R. J., Li, B., Benes, B., & Schnable, J. C. (2025). 3D Reconstruction Enables High-Throughput Phenotyping and Quantitative Genetic Analysis of Phyllotaxy. Plant Phenomics, 100023. https://doi.org/https://doi.org/10.1016/j.plaphe.2025.100023
2024
Sorghum segmentation and leaf counting using in silico trained deep neural model (Ostermann et al. 2024)Ostermann, I., Benes, B., Gaillard, M., Li, B., Davis, J., Grove, R., Shrestha, N., Tross, M. C., & Schnable, J. C. (2024). Sorghum segmentation and leaf counting using in silico trained deep neural model. The Plant Phenome Journal, 7(1), e70002.
-
Sorghum segmentation and leaf counting using in silico trained deep neural model (Ostermann et al. 2024)
Ostermann, I., Benes, B., Gaillard, M., Li, B., Davis, J., Grove, R., Shrestha, N., Tross, M. C., & Schnable, J. C. (2024). Sorghum segmentation and leaf counting using in silico trained deep neural model. The Plant Phenome Journal, 7(1), e70002.