| SeedGerm: a cost‐effective phenotyping platform for automated seed imaging and machine‐learning based phenotypic analysis of crop seed germination J Colmer, CM O'Neill, R Wells, A Bostrom, D Reynolds, D Websdale, ... New Phytologist 228 (2), 778-793, 2020 | 111 | 2020 |
| Large-scale field phenotyping using backpack LiDAR and CropQuant-3D to measure structural variation in wheat Y Zhu, G Sun, G Ding, J Zhou, M Wen, S Jin, Q Zhao, J Colmer, Y Ding, ... Plant Physiology 187 (2), 716-738, 2021 | 31 | 2021 |
| High‐throughput screening of argan oil composition and authenticity using benchtop 1H NMR Y Gunning, AJ Jackson, J Colmer, F Taous, M Philo, RM Brignall, ... Magnetic Resonance in Chemistry 58 (12), 1177-1186, 2020 | 22 | 2020 |
| AirMeasurer: open‐source software to quantify static and dynamic traits derived from multiseason aerial phenotyping to empower genetic mapping studies in rice G Sun, H Lu, Y Zhao, J Zhou, R Jackson, Y Wang, L Xu, A Wang, ... New Phytologist 236 (4), 1584-1604, 2022 | 21 | 2022 |
| Circadian regulation of the transcriptome in a complex polyploid crop H Rees, R Rusholme-Pilcher, P Bailey, J Colmer, B White, C Reynolds, ... PLoS Biology 20 (10), e3001802, 2022 | 20 | 2022 |
| Interpreting machine learning models to investigate circadian regulation and facilitate exploration of clock function LJ Gardiner, R Rusholme-Pilcher, J Colmer, H Rees, JM Crescente, ... Proceedings of the National Academy of Sciences 118 (32), e2103070118, 2021 | 16 | 2021 |
| Circadian and diel regulation of photosynthesis in the bryophyte Marchantia polymorpha D Cuitun‐Coronado, H Rees, J Colmer, A Hall, LL de Barros Dantas, ... Plant, Cell & Environment 45 (8), 2381-2394, 2022 | 13 | 2022 |
| De novo annotation of the wheat pan-genome reveals complexity and diversity of the hexaploid wheat pan-transcriptome B White, T Lux, R Rusholme-Pilcher, A Juhász, G Kaithakottil, S Duncan, ... BioRxiv, 2024.01. 09.574802, 2024 | 4 | 2024 |
| Combining Computer Vision and Deep Learning for High-Throughput Aerial Phenotypic Analysis in Wheat Pre-Breeding A Bauer, J Ball, J Colmer, S Orford, S Griffiths, J Zhou | 1 | 2019 |
| Machine learning models reveal environmental and genetic factors associated with the plant circadian clock C Reynolds, J Colmer, H Rees, E Khajouei, RL Rusholme-Pilcher, ... bioRxiv, 2024.10. 28.620591, 2024 | | 2024 |
| Bridging Artificial Intelligence and Plant Biology: Innovations in Phenotyping and Transcriptome Analysis J Colmer University of East Anglia, 2023 | | 2023 |
