| 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 | 991 | 2018 |
| Genomic innovation for crop improvement MW Bevan, C Uauy, BBH Wulff, J Zhou, K Krasileva, MD Clark Nature 543 (7645), 346-354, 2017 | 387 | 2017 |
| Spatio-Temporal Cellular Dynamics of the Arabidopsis Flagellin Receptor Reveal Activation Status-Dependent Endosomal Sorting M Beck, J Zhou, C Faulkner, D MacLean, S Robatzek The Plant Cell 24 (10), 4205-4219, 2012 | 285 | 2012 |
| Elicitin recognition confers enhanced resistance to Phytophthora infestans in potato J Du, E Verzaux, A Chaparro-Garcia, G Bijsterbosch, LC Keizer, JI Zhou, ... Nature plants 1 (4), 1-5, 2015 | 264 | 2015 |
| A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter R Cao, Y Chen, M Shen, J Chen, J Zhou, C Wang, W Yang Remote Sensing of Environment 217, 244-257, 2018 | 220 | 2018 |
| Clathrin-dependent endocytosis is required for immunity mediated by pattern recognition receptor kinases M Mbengue, G Bourdais, F Gervasi, M Beck, J Zhou, T Spallek, S Bartels, ... Proceedings of the National Academy of Sciences 113 (39), 11034-11039, 2016 | 194 | 2016 |
| Large-scale phenomics identifies primary and fine-tuning roles for CRKs in responses related to oxidative stress G Bourdais, P Burdiak, A Gauthier, L Nitsch, J Salojärvi, C Rayapuram, ... PLoS Genetics 11 (7), e1005373, 2015 | 186 | 2015 |
| Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system N Lu, J Zhou, Z Han, D Li, Q Cao, X Yao, Y Tian, Y Zhu, W Cao, T Cheng Plant Methods 15 (1), 1-16, 2019 | 174 | 2019 |
| 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 | 149 | 2019 |
| Combining computer vision and deep learning to enable ultra-scale aerial phenotyping and precision agriculture: A case study of lettuce production A Bauer, AG Bostrom, J Ball, C Applegate, T Cheng, S Laycock, SM Rojas, ... Horticulture research 6, 2019 | 148 | 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 228 (2), 778-793, 2020 | 93 | 2020 |
| Tomato I2 immune receptor can be engineered to confer partial resistance to the oomycete Phytophthora infestans in addition to the fungus Fusarium oxysporum A Giannakopoulou, JFC Steele, ME Segretin, TO Bozkurt, J Zhou, ... Molecular Plant-Microbe Interactions 28 (12), 1316-1329, 2015 | 92 | 2015 |
| A Developmental Framework for Complex Plasmodesmata Formation Revealed by Large-Scale Imaging of the Arabidopsis Leaf Epidermis J Fitzgibbon, M Beck, J Zhou, C Faulkner, S Robatzek, K Oparka The Plant Cell 25 (1), 57-70, 2013 | 83 | 2013 |
| 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 | 78 | 2019 |
| 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 | 61 | 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 | 52 | 2017 |
| 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 | 47 | 2018 |
| 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 | 39 | 2019 |
| Automatic counting of wheat spikes from wheat growth images N Alharbi, J Zhou, W Wang SCITEPRESS–Science and Technology Publications, 2018 | 36 | 2018 |
| CalloseMeasurer: a novel software solution to measure callose deposition and recognise spreading callose patterns J Zhou, T Spallek, C Faulkner, S Robatzek Plant Methods 8, 1-9, 2012 | 33 | 2012 |
Christine FaulknerProject Leader, John Innes Centre在 jic.ac.uk 的电子邮件经过验证
