Search Results - Burgess, Alexandra J.

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  1. 1
    A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?

    A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations? by Murchie, Erik H., Gibbs, Jonathon, Burgess, Alexandra J.

    Published 2019
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  2. 2
    Exploring relationships between canopy architecture, light distribution and photosynthesis in contrasting rice genotypes using 3D canopy reconstruction

    Exploring relationships between canopy architecture, light distribution and photosynthesis in contrasting rice genotypes using 3D canopy reconstruction by Burgess, Alexandra J., Retkute, Renata, Herman, Tiara, Murchie, Erik H.

    Published 2017
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  3. 3
    Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems

    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.

    Published 2017
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  4. 4
    The 4-dimensional plant: effects of wind-induced canopy movement on light fluctuations and photosynthesis

    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.

    Published 2016
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  5. 5
    High-resolution three-dimensional structural data quantify the impact of photoinhibition on long-term carbon gain in wheat canopies in the field

    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.

    Published 2015
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  6. 6
    Deep machine learning provides state-of-the art performance in image-based plant phenotyping

    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.

    Published 2016
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