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Ji Zhou (周济)
Ji Zhou (周济)
其他姓名Ji Zhou, 周 济
Head of Data Sciences Dept., Cambridge Crop Research NIAB UK; Professor, Nanjing Agricultural Uni.
在 niab.com 的电子邮件经过验证 - 首页
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引用次数
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年份
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
9912018
Genomic innovation for crop improvement
MW Bevan, C Uauy, BBH Wulff, J Zhou, K Krasileva, MD Clark
Nature 543 (7645), 346-354, 2017
3872017
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
2852012
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
2642015
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
2202018
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
1942016
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
1862015
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
1742019
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
1492019
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
1482019
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
932020
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
922015
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
832013
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
782019
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
612017
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
522017
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
472018
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
392019
Automatic counting of wheat spikes from wheat growth images
N Alharbi, J Zhou, W Wang
SCITEPRESS–Science and Technology Publications, 2018
362018
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
332012
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