| Speed breeding is a powerful tool to accelerate crop research and breeding A Watson, S Ghosh, MJ Williams, WS Cuddy, J Simmonds, MD Rey, ... Nature plants 4 (1), 23-29, 2018 | 1125 | 2018 |
| What is cost-efficient phenotyping? Optimizing costs for different scenarios D Reynolds, F Baret, C Welcker, A Bostrom, J Ball, F Cellini, A Lorence, ... Plant Science 282, 14-22, 2019 | 160 | 2019 |
| 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, 1-41, 2020 | 111 | 2020 |
| CropSight: a scalable and open-source information management system for distributed plant phenotyping and IoT-based crop management D Reynolds, J Ball, A Bauer, R Davey, S Griffiths, J Zhou Gigascience 8 (3), giz009, 2019 | 90 | 2019 |
| Speed breeding is a powerful tool to accelerate crop research and breeding. Nat Plants 4: 23–29 A Watson, S Ghosh, MJ Williams, WS Cuddy, J Simmonds, MD Rey, ... | 89 | 2018 |
| Leaf-GP: an open and automated software application for measuring growth phenotypes for arabidopsis and wheat J Zhou, C Applegate, AD Alonso, D Reynolds, S Orford, M Mackiewicz, ... Plant Methods 13, 1-17, 2017 | 65 | 2017 |
| CropQuant: an automated and scalable field phenotyping platform for crop monitoring and trait measurements to facilitate breeding and digital agriculture J Zhou, D Reynolds, TL Cornu, D Websdale, S Orford, C Lister, ... BioRxiv, 161547, 2017 | 58 | 2017 |
| An exploration of deep-learning based phenotypic analysis to detect spike regions in field conditions for UK bread wheat T Alkhudaydi, D Reynolds, S Griffiths, J Zhou, B De La Iglesia Plant Phenomics, 2019 | 49 | 2019 |
| Plant phenomics:: history, present status and challenges J Zhou, F Tardieu, T Pridmore, J Doonan, D Reynolds, N Hall, S Griffiths, ... Journal of Nanjing Agricultural University 41 (4), 580-588, 2018 | 49 | 2018 |
| Real-time accumulation of occlusion-based snow DT Reynolds, SD Laycock, AM Day The Visual Computer 31, 689-700, 2015 | 16 | 2015 |
| CropSurveyor: a scalable open-source experiment management system for distributed plant phenotyping and IoT-based crop management D Reynolds, J Ball, A Bauer, S Griffiths, J Zhou bioRxiv, 2018 | 1 | 2018 |
| Remodelling of Botanical Trees for Real-Time Simulation DT Reynolds, SD Laycock, AM Day Theory and Practice of Computer Graphics, 1-8, 2011 | 1 | 2011 |
| Extracorporeal Membrane Oxygenation for Respiratory Failure: A Narrative Review JC Grotberg, D Reynolds, BD Kraft Preprints, 2024 | | 2024 |
| Research Article An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat T Alkhudaydi, D Reynolds, S Griffiths, J Zhou, B de la Iglesia | | 2019 |
| Real-time rendering and simulation of trees and snow DT Reynolds University of East Anglia, 2014 | | 2014 |
| Leaf-GP: An Open and Automated Software Application for Measuring Growth Phenotypes for 1 Arabidopsis and Wheat 2 SG Mackiewicz, S Penfield, N Pullen, C Applegate, A Dobon, D Reynolds, ... | | |
Ji Zhou (周济)Head of Data Sciences Dept., CSC, NIAB UK; Professor, NAU (chair), UEA (hon.)Bestätigte E-Mail-Adresse bei niab.com