Search Results - Pound, Michael P.

Automated recovery of 3D models of plant shoots from multiple colour images by Pound, Michael P., French, Andrew P., Murchie, Erik H., Pridmore, Tony P.

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

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

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AutoRoot: open-source software employing a novel image analysis approach to support fully-automated plant phenotyping by Pound, Michael P., Fozard, Susan, Torres Torres, Mercedes, Forde, Brian G., French, Andrew P.

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A patch-based approach to 3D plant shoot phenotyping by Pound, Michael P., French, Andrew P., Fozard, John A., Murchie, Erik H., Pridmore, Tony P.

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Deep learning for multi-task plant phenotyping by Pound, Michael P., Atkinson, Jonathan A., Wells, Darren M., Pridmore, Tony P., French, Andrew P.

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Approaches to three-dimensional reconstruction of plant shoot topology and geometry by Gibbs, Jonathon, Pound, Michael P., French, Andrew P., Wells, Darren M., Murchie, Erik H., Pridmore, Tony P.

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Three-dimensional reconstruction of plant shoots from multiple images using an active vision system by Gibbs, Jonathon, Pound, Michael P., Wells, Darren M., Murchie, Erik H., French, Andrew P., Pridmore, Tony P.

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Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction by Pridmore, Tony P., Gibbs, Jonathon, Pound, Michael P., French, Andrew P., Wells, Darren M., Murchie, Erik H.

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The 4-dimensional plant: effects of wind-induced canopy movement on light fluctuations and photosynthesis by Burgess, Alexandra J., Retkute, Renata, Preston, Simon P., Jensen, Oliver E., Pound, Michael P., Pridmore, Tony P., 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 by 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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The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology by Burrell, Thomas, Fozard, Susan, Holroyd, Geoff H., French, Andrew P., Pound, Michael P., Bigley, Christopher J., Taylor, C. James, Forde, Brian G.

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Root system markup language: toward an unified root architecture description language by Lobet, Guillaume, Pound, Michael P., Diener, Julian, Pradal, Christophe, Draye, Xavier, Godin, Christophe, Javaux, Mathieu, Leitner, Daniel, Meunier, Felicien, Nacry, Philippe, Pridmore, Tony P., Schnepf, Andrea

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Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat by Atkinson, Jonathan A., Wingen, Luzie U., Griffiths, Marcus, Pound, Michael P., Gaju, Oorbessy, Foulkes, John, Le Gouis, Jacques, Griffiths, Simon, Bennett, Malcolm J., King, Julie, Wells, Darren M.

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

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Deep machine learning provides state-of-the-art performance in image-based plant phenotyping by 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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Systems analysis of auxin transport in the Arabidopsis root apex by 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. C., Pridmore, Tony P., Swarup, Ranjan, King, John R., Bennett, Malcolm J.

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