Uncovering the hidden half of plants using new advances in root phenotyping von Atkinson, Jonathan A, Pound, Michael P, Bennett, Malcolm J, Wells, Darren M

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Deep convolutional neural networks for image-based Convolvulus sepium detection in sugar beet fields von Gao, Junfeng, French, Andrew P., Pound, Michael P., He, Yong, Pridmore, Tony P., Pieters, Jan G.

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Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images von Pound, Michael P., French, Andrew P., Murchie, Erik H., Pridmore, Tony P.

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Deep machine learning provides state-of-the-art performance in image-based plant phenotyping von Pound, Michael P., Atkinson, Jonathan A., Townsend, Alexandra J., Wilson, Michael H., Griffiths, Marcus, Jackson, Aaron S., Bulat, Adrian, Tzimiropoulos, Georgios, Wells, Darren M., Murchie, Erik H., Pridmore, Tony P., French, Andrew P.

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RootNav: Navigating Images of Complex Root Architectures von Pound, Michael P., French, Andrew P., Atkinson, Jonathan A., Wells, Darren M., Bennett, Malcolm J., Pridmore, Tony

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A review of ultrasonic sensing and machine learning methods to monitor industrial processes von Bowler, Alexander L., Pound, Michael P., Watson, Nicholas J.

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RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures von Yasrab, Robail, Atkinson, Jonathan A, Wells, Darren M, French, Andrew P, Pridmore, Tony P, Pound, Michael P

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The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis von Burgess, Alexandra J, Retkute, Renata, Preston, Simon P, Jensen, Oliver E, Pound, Michael P, Pridmore, Tony P, Murchie, Erik H

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The 6xABRE Synthetic Promoter Enables the Spatiotemporal Analysis of ABA-Mediated Transcriptional Regulation von Wu, Rui, Duan, Lina, Pruneda-Paz, José L., Oh, Dong-ha, Pound, Michael, Kay, Steve, Dinneny, José R.

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Systems Analysis of Auxin Transport in the Arabidopsis Root Apex von Band, Leah R., Wells, Darren M., Fozard, John A., Ghetiu, Teodor, French, Andrew P., Pound, Michael P., Wilson, Michael H., Yu, Lei, Li, Wenda, Hijazi, Hussein I., Oh, Jaesung, Pearce, Simon P., Perez-Amador, Miguel A., Yun, Jeonga, Kramer, Eric, Alonso, Jose M., Godin, Christophe, Vernoux, Teva, Hodgman, T. Charlie, Pridmore, Tony P., Swarup, Ranjan, King, John R., Bennett, Malcolm J.

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Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots von Muraro, Daniele, Mellor, Nathan, Pound, Michael P., Help, Hanna, Lucas, Mikaël, Chopard, Jérôme, Byrne, Helen M., Godin, Christophe, Hodgman, T. Charlie, King, John R., Pridmore, Tony P., Helariutta, Ykä, Bennett, Malcolm J., Bishopp, Anthony

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Classification of osteoarthritic and healthy cartilage using deep learning with Raman spectra von Kok, Yong En, Crisford, Anna, Parkes, Andrew, Venkateswaran, Seshasailam, Oreffo, Richard, Mahajan, Sumeet, Pound, Michael

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Predicting Plant Growth from Time-Series Data Using Deep Learning von Yasrab, Robail, Zhang, Jincheng, Smyth, Polina, Pound, Michael P.

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Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems von Burgess, Alexandra J., Retkute, Renata, Pound, Michael P., Mayes, Sean, Murchie, Erik H.

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High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field von Burgess, Alexandra J., Retkute, Renata, Pound, Michael P., Foulkes, John, Preston, Simon P., Jensen, Oliver E., Pridmore, Tony P., Murchie, Erik H.

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Recovering Wind-Induced Plant Motion in Dense Field Environments via Deep Learning and Multiple Object Tracking von Gibbs, Jonathon A, Burgess, Alexandra J, Pound, Michael P, Pridmore, Tony P, Murchie, Erik H

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Volumetric Segmentation of Cell Cycle Markers in Confocal Images Using Machine Learning and Deep Learning von Khan, Faraz Ahmad, Voss, Ute, Pound, Michael P., French, Andrew P.

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Domain Adaptation and Federated Learning for Ultrasonic Monitoring of Beer Fermentation von Bowler, Alexander L., Pound, Michael P., Watson, Nicholas J.

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CellSeT: Novel Software to Extract and Analyze Structured Networks of Plant Cells from Confocal Images von Pound, Michael P., French, Andrew P., Wells, Darren M., Bennett, Malcolm J., Pridmore, Tony P.

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Active Vision and Surface Reconstruction for 3D Plant Shoot Modelling von Gibbs, Jonathon A., Pound, Michael P., French, Andrew P., Wells, Darren M., Murchie, Erik H., Pridmore, Tony P.

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