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Michael P Pound

Showing results (11-20 of 27) with videos related to

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Plant Physiology|July 24, 2019
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object TrackingJonathon A Gibbs, Alexandra J Burgess, Michael P Pound, et al.
Plant Methods|March 14, 2020
Deep convolutional neural networks for image-based <i>Convolvulus sepium</i> detection in sugar beet fieldsJunfeng Gao, Andrew P French, Michael P Pound, et al.
Optics Express|August 13, 2025
Practical aberration correction using deep transfer learning with limited experimental dataYong En Kok, Alexander Bentley, Andrew J Parkes, et al.
Gigascience|November 9, 2019
RootNav 2.0: Deep learning for automatic navigation of complex plant root architecturesRobail Yasrab, Jonathan A Atkinson, Darren M Wells, et al.
Plant Physiology|June 15, 2013
RootNav: navigating images of complex root architecturesMichael P Pound, Andrew P French, Jonathan A Atkinson, et al.
Gigascience|March 26, 2025
High-fidelity wheat plant reconstruction using 3D Gaussian splatting and neural radiance fieldsLewis A G Stuart, Darren M Wells, Jonathan A Atkinson, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 28, 2019
Active Vision and Surface Reconstruction for 3D Plant Shoot ModellingJonathon A Gibbs, Michael P Pound, Andrew P French, et al.
Frontiers in Plant Science|October 7, 2016
The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and PhotosynthesisAlexandra J Burgess, Renata Retkute, Simon P Preston, et al.
Plant Phenomics (Washington, D.C.)|April 6, 2026
Root segmentation beyond species boundaries: A generalizable framework for anatomical analysisYifei Qian, Yong En Kok, George Janes, et al.
Plant Methods|March 8, 2017
The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biologyThomas Burrell, Susan Fozard, Geoff H Holroyd, et al.
Pageof 3

Showing results (11-20 of 27) with videos related to

Sort By:
Pageof 3
Plant Physiology|July 24, 2019
Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object TrackingJonathon A Gibbs, Alexandra J Burgess, Michael P Pound, et al.
Plant Methods|March 14, 2020
Deep convolutional neural networks for image-based <i>Convolvulus sepium</i> detection in sugar beet fieldsJunfeng Gao, Andrew P French, Michael P Pound, et al.
Optics Express|August 13, 2025
Practical aberration correction using deep transfer learning with limited experimental dataYong En Kok, Alexander Bentley, Andrew J Parkes, et al.
Gigascience|November 9, 2019
RootNav 2.0: Deep learning for automatic navigation of complex plant root architecturesRobail Yasrab, Jonathan A Atkinson, Darren M Wells, et al.
Plant Physiology|June 15, 2013
RootNav: navigating images of complex root architecturesMichael P Pound, Andrew P French, Jonathan A Atkinson, et al.
Gigascience|March 26, 2025
High-fidelity wheat plant reconstruction using 3D Gaussian splatting and neural radiance fieldsLewis A G Stuart, Darren M Wells, Jonathan A Atkinson, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 28, 2019
Active Vision and Surface Reconstruction for 3D Plant Shoot ModellingJonathon A Gibbs, Michael P Pound, Andrew P French, et al.
Frontiers in Plant Science|October 7, 2016
The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and PhotosynthesisAlexandra J Burgess, Renata Retkute, Simon P Preston, et al.
Plant Phenomics (Washington, D.C.)|April 6, 2026
Root segmentation beyond species boundaries: A generalizable framework for anatomical analysisYifei Qian, Yong En Kok, George Janes, et al.
Plant Methods|March 8, 2017
The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biologyThomas Burrell, Susan Fozard, Geoff H Holroyd, et al.
Pageof 3