TP
Tony Pridmore
SoftwareModels, BiologicalAlgorithmsbioinformaticsimage analysisplant biologyconvolutional neural networksdata managementDeep LearningGene Expression Regulation, Plant
On Valency
published · living versionsW_whyyc35n·v1 · currentpublished
Agricultural Robotics: The Future of Robotic Agriculture
with Tom Duckett, Simon Pearson, Simon Blackmore, Bruce Grieve +25
1 version
Preprints & journals
65 papers in the corpus · 2006–2026Plant Phenomics-the unrecognized rise of a scientific discipline.42705930 · Bucksch, Alexander, Chung, Yong S, Clarke, Jennifer L et al.2026 · 0 citationsTrends in plant science. 2026
A conversational multi-agent AI system for automated plant phenotyping.41932896 · Chen, Feng, Stogiannidis, Ilias, Wood, Andrew et al.2026 · 5 citationsNature communications. 2026;17(1)
Root metaxylem area influences drought tolerance and transpiration in pearl millet in a soil texture dependent manner10.1101/2024.11.09.622826v1 · Affortit, P., Faye, A., Jones, D. H. et al.2024 · 5 citationsbioRxiv
Meeting sustainable development goals via robotics and autonomous systems.35729171 · Guenat, Solène, Purnell, Phil, Davies, Zoe G et al.2022 · 101 citationsNature communications. 2022;13(1):3559
Temporal refinement of 3D CNN semantic segmentations on 4D time-series of undersampled tomograms using hidden Markov models.34857791 · Bellos, Dimitrios, Basham, Mark, Pridmore, Tony et al.2022 · 3 citationsScientific reports. 2021;11(1):23279
Editorial: State-of-the-Art Technology and Applications in Crop Phenomics.34675958 · Yang, Wanneng, Doonan, John H, Hawkesford, Malcolm J et al.2021 · 11 citationsFrontiers in plant science. 2021;12:767324
Data management challenges for artificial intelligence in plant and agricultural research.36873457 · Williamson, Hugh F, Brettschneider, Julia, Caccamo, Mario et al.2025 · 52 citationsF1000Research. 2021;10:324
Editorial: Phenotyping; From Plant, to Data, to Impact and Highlights of the International Plant Phenotyping Symposium - IPPS 2018.33343612 · Pommier, Cyril, Garnett, Trevor, Lawrence-Dill, Carolyn J et al.2020 · 2 citationsFrontiers in plant science. 2020;11:618342
Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling.31027044 · Gibbs, Jonathon A, Pound, Michael P, French, Andrew P et al.2021 · 44 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2020;17(6):1907-1917
Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping.32545168 · Bagley, Stuart A, Atkinson, Jonathan A, Hunt, Henry et al.2021 · 23 citationsSensors (Basel, Switzerland). 2020;20(11)
Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder Networks.32406835 · Soltaninejad, Mohammadreza, Sturrock, Craig J, Griffiths, Marcus et al.2024 · 52 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2020
PhenomNet: Bridging Phenotype-Genotype Gap: A CNN-LSTM Based Automatic Plant Root Anatomization System.10.1101/2020.05.03.075184v2 · Yasrab, R., Pound, M., French, A. et al.2020 · 21 citationsbioRxiv
RootNet: A Convolutional Neural Networks for Complex Plant Root Phenotyping from High-Definition Datasets10.1101/2020.05.01.073270v2 · Yasrab, R., Pound, M., French, A. et al.2020 · 6 citationsbioRxiv
The effect of depth context in the segmentation of the colon in MRI volumes10.1101/2020.03.06.20027722v1 · Benson, E., Rier, L., Millican, I. et al.2020 · 1 citationmedRxiv
Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields.32165909 · Gao, Junfeng, French, Andrew P, Pound, Michael P et al.2022 · 189 citationsPlant methods. 2020;16:29
Towards infield, live plant phenotyping using a reduced-parameter CNN.31894176 · Atanbori, John, French, Andrew P, Pridmore, Tony P2023 · 21 citationsMachine vision and applications. 2020;31(1):2
Convolutional Neural Net-Based Cassava Storage Root Counting Using Real and Synthetic Images.31850020 · Atanbori, John, Montoya-P, Maria Elker, Selvaraj, Michael Gomez et al.2023 · 19 citationsFrontiers in plant science. 2019;10:1516
A low-cost aeroponic phenotyping system for storage root development: unravelling the below-ground secrets of cassava (Manihot esculenta).31728153 · Selvaraj, Michael Gomez, Montoya-P, Maria Elker, Atanbori, John et al.2022 · 38 citationsPlant methods. 2019;15:131
RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.31702012 · Yasrab, Robail, Atkinson, Jonathan A, Wells, Darren M et al.2020 · 168 citationsGigaScience. 2019;8(11)
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking.31331997 · Gibbs, Jonathon A, Burgess, Alexandra J, Pound, Michael P et al.2020 · 25 citationsPlant physiology. 2019;181(1):28-42
A convolutional neural network for fast upsampling of undersampled tomograms in X-ray CT time-series using a representative highly sampled tomogram.31074449 · Bellos, Dimitrios, Basham, Mark, Pridmore, Tony et al.2024 · 9 citationsJournal of synchrotron radiation. 2019;26(Pt 3):839-853
Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction.30097468 · Gibbs, Jonathon A, Pound, Michael, French, Andrew P et al.2019 · 61 citationsPlant physiology. 2018;178(2):524-534
Erratum to: Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.30053289 · Pound, Michael P, Atkinson, Jonathan A, Townsend, Alexandra J et al.2025 · 11 citationsGigaScience. 2018;7(7)
Agricultural Robotics: The Future of Robotic Agriculture1806.06762v2 · Tom Duckett, Simon Pearson, Simon Blackmore et al.2018 · 410 citationsarXivon Valency
Author Correction: Rice auxin influx carrier OsAUX1 facilitates root hair elongation in response to low external phosphate.29717128 · Giri, Jitender, Bhosale, Rahul, Huang, Guoqiang et al.2025 · 10 citationsNature communications. 2018;9(1):1810
Rice auxin influx carrier OsAUX1 facilitates root hair elongation in response to low external phosphate.29650967 · Giri, Jitender, Bhosale, Rahul, Huang, Guoqiang et al.2018 · 183 citationsNature communications. 2018;9(1):1408
X-Ray Computed Tomography of Crop Plant Root Systems Grown in Soil.33383984 · Mairhofer, Stefan, Pridmore, Tony, Johnson, James et al.2025 · 39 citationsCurrent protocols in plant biology. 2017;2(4):270-286
Deep Learning for Multi-task Plant Phenotyping10.1101/204552v1 · Pound, M. P., Atkinson, J. A., Wells, D. M. et al.2017 · 184 citationsbioRxiv
Deep machine learning provides state-of-the-art performance in image-based plant phenotyping.29020747 · Pound, Michael P, Atkinson, Jonathan A, Townsend, Alexandra J et al.2018 · 392 citationsGigaScience. 2017;6(10):1-10
Plant Phenomics, From Sensors to Knowledge.28787611 · Tardieu, François, Cabrera-Bosquet, Llorenç, Pridmore, Tony et al.2018 · 618 citationsCurrent biology : CB. 2017;27(15):R770-R783
Quantification of root water uptake in soil using X-ray computed tomography and image-based modelling.28503782 · Daly, Keith R, Tracy, Saoirse R, Crout, Neil M J et al.2018 · 51 citationsPlant, cell & environment. 2018;41(1):121-133
Root hydrotropism is controlled via a cortex-specific growth mechanism.28481327 · Dietrich, Daniela, Pang, Lei, Kobayashi, Akie et al.2017 · 259 citationsNature plants. 2017;3:17057
SuRVoS: Super-Region Volume Segmentation workbench.28246039 · Luengo, Imanol, Darrow, Michele C, Spink, Matthew C et al.2017 · 89 citationsJournal of structural biology. 2017;198(1):43-53
The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis.27708654 · Burgess, Alexandra J, Retkute, Renata, Preston, Simon P et al.2025 · 93 citationsFrontiers in plant science. 2016;7:1392
Approaches to three-dimensional reconstruction of plant shoot topology and geometry.32480547 · Gibbs, Jonathon A, Pound, Michael, French, Andrew P et al.2025 · 103 citationsFunctional plant biology : FPB. 2016;44(1):62-75
Extracting multiple interacting root systems using X-ray microcomputed tomography.26461469 · Mairhofer, Stefan, Sturrock, Craig J, Bennett, Malcolm J et al.2016 · 48 citationsThe Plant journal : for cell and molecular biology. 2015;84(5):1034-43
High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field.26282240 · Burgess, Alexandra J, Retkute, Renata, Pound, Michael P et al.2016 · 68 citationsPlant physiology. 2015;169(2):1192-204
On the evaluation of methods for the recovery of plant root systems from X-ray computed tomography images.32480692 · Mairhofer, Stefan, Sturrock, Craig, Wells, Darren M et al.2025 · 23 citationsFunctional plant biology : FPB. 2015;42(5):460-470
Root system markup language: toward a unified root architecture description language.25614065 · Lobet, Guillaume, Pound, Michael P, Diener, Julien et al.2016 · 128 citationsPlant physiology. 2015;167(3):617-27
Automated recovery of three-dimensional models of plant shoots from multiple color images.25332504 · Pound, Michael P, French, Andrew P, Murchie, Erik H et al.2016 · 136 citationsPlant physiology. 2014;166(4):1688-98
Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending.24641449 · Dyson, Rosemary J, Vizcay-Barrena, Gema, Band, Leah R et al.2015 · 64 citationsThe New phytologist. 2014;202(4):1212-1222
Systems analysis of auxin transport in the Arabidopsis root apex.24632533 · Band, Leah R, Wells, Darren M, Fozard, John A et al.2015 · 210 citationsThe Plant cell. 2014;26(3):862-75
Time-profiling fluorescent reporters in the Arabidopsis root.24306858 · Larrieu, Antoine P, French, Andrew P, Pridmore, Tony P et al.2014 · 6 citationsMethods in molecular biology (Clifton, N.J.). 2014;1056:11-7
Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots.24381155 · Muraro, Daniele, Mellor, Nathan, Pound, Michael P et al.2014 · 104 citationsProceedings of the National Academy of Sciences of the United States of America. 2014;111(2):857-62
Sequential induction of auxin efflux and influx carriers regulates lateral root emergence.24150423 · Péret, Benjamin, Middleton, Alistair M, French, Andrew P et al.2014 · 128 citationsMolecular systems biology. 2013;9:699
RootNav: navigating images of complex root architectures.23766367 · Pound, Michael P, French, Andrew P, Atkinson, Jonathan A et al.2014 · 267 citationsPlant physiology. 2013;162(4):1802-14
Recovering complete plant root system architectures from soil via X-ray μ-Computed Tomography.23514198 · Mairhofer, Stefan, Zappala, Susan, Tracy, Saoirse et al.2013 · 162 citationsPlant methods. 2013;9(1):8
Effects of X-Ray Dose On Rhizosphere Studies Using X-Ray Computed Tomography.23840640 · Zappala, Susan, Helliwell, Jonathan R, Tracy, Saoirse R et al.2017 · 93 citationsPloS one. 2013;8(6):e67250
Multiscale systems analysis of root growth and development: modeling beyond the network and cellular scales.23110897 · Band, Leah R, Fozard, John A, Godin, Christophe et al.2013 · 65 citationsThe Plant cell. 2012;24(10):3892-906
What lies beneath: underlying assumptions in bioimage analysis.22902890 · Pridmore, Tony P, French, Andrew P, Pound, Michael P2013 · 21 citationsTrends in plant science. 2012;17(12):688-92
Career total: 257 works. 65 are in this corpus.Showing the 50 most recent.
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