|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
|Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping|
MP Pound, JA Atkinson, AJ Townsend, MH Wilson, M Griffiths, ...
|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
|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
|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
|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
|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
|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
|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
|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
|An updated protocol for high throughput plant tissue sectioning|
JA Atkinson, DM Wells
Frontiers in plant science 8, 1721, 2017
|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
|Field phenotyping for the future|
JA Atkinson, RJ Jackson, AR Bentley, E Ober, DM Wells
Annual Plant Reviews online, 719-736, 2018
|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
|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
|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
|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
|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
|Ears, shoots and leaves|
J Atkinson, D von Wangenheim, LR Band, MJ Bennett
Nature Plants 3 (9), 686-687, 2017