Jonathan A Atkinson
Jonathan A Atkinson
Verified email at nottingham.ac.uk
Title
Cited by
Cited by
Year
Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping
MP Pound, JA Atkinson, AJ Townsend, MH Wilson, M Griffiths, ...
GigaScience, 2017
1572017
RootNav: navigating images of complex root architectures
MP Pound, AP French, JA Atkinson, DM Wells, MJ Bennett, T Pridmore
Plant physiology 162 (4), 1802-1814, 2013
1502013
Branching out in roots: uncovering form, function, and regulation
JA Atkinson, A Rasmussen, R Traini, U Vo▀, C Sturrock, SJ Mooney, ...
Plant Physiology 166 (2), 538-550, 2014
1432014
Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat
JA Atkinson, LU Wingen, M Griffiths, MP Pound, O Gaju, MJ Foulkes, ...
Journal of Experimental Botany 66 (8), 2283-2292, 2015
1322015
Uncovering the hidden half of plants using new advances in root phenotyping
JA Atkinson, MP Pound, MJ Bennett, DM Wells
Current opinion in biotechnology 55, 1-8, 2019
772019
Deep learning for multi-task plant phenotyping
MP Pound, JA Atkinson, DM Wells, TP Pridmore, AP French
Proceedings of the IEEE International Conference on Computer Visioná…, 2017
662017
Characterization of pearl millet root architecture and anatomy reveals three types of lateral roots
S Passot, F Gnacko, D Moukouanga, M Lucas, S Guyomarc’h, BM Ortega, ...
Frontiers in plant science 7, 829, 2016
442016
Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large-scale genetic studies
JA Atkinson, G Lobet, M Noll, PE Meyer, M Griffiths, DM Wells
GigaScience 6 (10), gix084, 2017
212017
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures
R Yasrab, JA Atkinson, DM Wells, AP French, TP Pridmore, MP Pound
GigaScience 8 (11), giz123, 2019
172019
Rice plants overexpressing OsEPF1 show reduced stomatal density and increased root cortical aerenchyma formation
U Mohammed, RS Caine, JA Atkinson, EL Harrison, D Wells, CC Chater, ...
Scientific reports 9 (1), 1-13, 2019
152019
An updated protocol for high throughput plant tissue sectioning
JA Atkinson, DM Wells
Frontiers in plant science 8, 1721, 2017
122017
Demystifying roots: A need for clarification and extended concepts in root phenotyping
G Lobet, A Paez-Garcia, H Schneider, A Junker, JA Atkinson, S Tracy
Plant science 282, 11-13, 2019
92019
Field phenotyping for the future
JA Atkinson, RJ Jackson, AR Bentley, E Ober, DM Wells
Annual Plant Reviews online, 719-736, 2018
82018
High throughput procedure utilising chlorophyll fluorescence imaging to phenotype dynamic photosynthesis and photoprotection in leaves under controlled gaseous conditions
L McAusland, JA Atkinson, T Lawson, EH Murchie
Plant methods 15 (1), 109, 2019
72019
Linear discriminant analysis reveals differences in root architecture in wheat seedlings related to nitrogen uptake efficiency
K Kenobi, JA Atkinson, DM Wells, O Gaju, JG deSilva, MJ Foulkes, ...
Journal of Experimental Botany, 2017
72017
Soil strength influences wheat root interactions with soil macropores
JA Atkinson, MJ Hawkesford, WR Whalley, H Zhou, SJ Mooney
Plant, cell & environment 43 (1), 235-245, 2020
52020
Identification of nitrogen-dependent QTL and underlying genes for root system architecture in hexaploid wheat
M Griffiths, JA Atkinson, LJ Gardiner, R Swarup, MP Pound, MH Wilson, ...
bioRxiv, 591529, 2019
12019
The interaction between wheat roots and soil pores in structured field soil
H Zhou, WR Whalley, MJ Hawkesford, RW Ashton, B Atkinson, ...
Journal of Experimental Botany, 2020
2020
The HK5 and HK6 cytokinin receptors mediate diverse developmental pathways in rice
CA Burr, J Sun, MV Yamburenko, A Willoughby, C Hodgens, SL Boeshore, ...
Development 147 (20), 2020
2020
Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping
SA Bagley, JA Atkinson, H Hunt, MH Wilson, TP Pridmore, DM Wells
Sensors 20 (11), 3319, 2020
2020
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Articles 1–20