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Pridmore, Tony P., Gibbs, Jonathon, Pound, Michael P., French, Andrew P., Wells, Darren M. and Murchie, Erik H. (2018) Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction. Plant Physiology . ISSN 1532-2548 (In Press)

Daly, Keith R., Tracy, Saoirse R., Crout, Neil M.J., Mairhofer, Stefan, Pridmore, Tony P., Mooney, Sacha J. and Roose, Tiina (2017) Quantification of root water uptake in soil using X-ray Computed Tomography and image based modelling. Plant, Cell and Environment, 41 (1). pp. 121-133. ISSN 1365-3040

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. and French, Andrew P. (2017) Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience, 6 (10). pp. 1-10. ISSN 2047-217X

Tardieu, François, Cabrera-Bosquet, Llorenç, Pridmore, Tony P. and Bennett, Malcolm J. (2017) Plant phenomics, from sensors to knowledge. Current Biology, 27 (15). R770-R783. ISSN 1879-0445

Dietrich, Daniela, Pang, Lei, Kobayashi, Akie, Fozard, John A., Boudolf, Véronique, Bhosale, Rahul, Antoni, Regina, Nguyen, Tuan, Hiratsuka, Sotaro, Fujii, Nobuharu, Miyazawa, Yutaka, Bae, Tae-Woong, Wells, Darren M., Owen, Markus R., Band, Leah R., Dyson, Rosemary J., Jensen, Oliver E., King, John R., Tracy, Saoirse R., Sturrock, Craig, Mooney, Sacha J., Roberts, Jeremy A., Bhalerao, Rishikesh P., Dinneny, José R., Rodriguez, Pedro L., Nagatani, Akira, Hosokawa, Yoichiroh, Baskin, Tobias I., Pridmore, Tony P., De Veylder, Lieven, Takahashi, Hideyuki and Bennett, Malcolm J. (2017) Root hydrotropism is controlled via a cortex-specific growth mechanism. Nature Plants, 3 . p. 17057. ISSN 2055-0278

Burgess, Alexandra J., Retkute, Renata, Preston, Simon P., Jensen, Oliver E., Pound, Michael P., Pridmore, Tony P. and Murchie, Erik H. (2016) The 4-dimensional plant: effects of wind-induced canopy movement on light fluctuations and photosynthesis. Frontiers in Plant Science, 7 (1392). ISSN 1664-462X

Gibbs, Jonathon, Pound, Michael P., French, Andrew P., Wells, Darren M., Murchie, Erik H. and Pridmore, Tony P. (2016) Approaches to three-dimensional reconstruction of plant shoot topology and geometry. Functional Plant Biology . ISSN 1445-4408

Pound, Michael P., French, Andrew P., Fozard, John A., Murchie, Erik H. and Pridmore, Tony P. (2016) A patch-based approach to 3D plant shoot phenotyping. Machine Vision and Applications . ISSN 1432-1769

Mairhofer, Stefan, Johnson, James, Sturrock, Craig, Bennett, Malcolm J., Mooney, Sacha J. and Pridmore, Tony P. (2015) Visual tracking for the recovery of multiple interacting plant root systems from X-ray μCT images. Machine Vision and Applications . pp. 1-14. ISSN 1432-1769

Mairhofer, Stefan, Sturrock, Craig, Bennett, Malcolm J., Mooney, Sacha J. and Pridmore, Tony P. (2015) Extracting multiple interacting root systems using X-ray micro computed tomography. The Plant Journal, 84 (5). pp. 1034-1043. ISSN 1365-313X

Lobet, Guillaume, Pound, Michael P., Diener, Julian, Pradal, Christophe, Draye, Xavier, Godin, Christophe, Javaux, Mathieu, Leitner, Daniel, Meunier, Felicien, Nacry, Philippe, Pridmore, Tony P. and Schnepf, Andrea (2015) Root system markup language: toward an unified root architecture description language. Plant Physiology, 167 (3). pp. 617-627. ISSN 1532-2548

Burgess, Alexandra J., Retkute, Renata, Pound, Michael P., Foulkes, John, Preston, Simon P., Jensen, Oliver E., Pridmore, Tony P. and Murchie, Erik H. (2015) High-resolution three-dimensional structural data quantify the impact of photoinhibition on long-term carbon gain in wheat canopies in the field. Plant Physiology, 169 (2). pp. 1192-1204. ISSN 1532-2548

Pound, Michael P., French, Andrew P., Murchie, Erik H. and Pridmore, Tony P. (2014) Automated recovery of 3D models of plant shoots from multiple colour images. Plant Physiology, 166 (4). pp. 1688-1698. ISSN 0032-0889

Dyson, Rosemary J., Vizcay-Barrena, Gema, Band, Leah R., Fernandes, Anwesha N., French, Andrew P., Fozard, John A., Hodgman, T. Charlie, Kenobi, Kim, Pridmore, Tony P., Stout, Michael, Wells, Darren M., Wilson, Michael H., Bennett, Malcolm J. and Jensen, Oliver E. (2014) Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending. New Phytologist, 202 (4). pp. 1212-1222. ISSN 1469-8137

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. and Bennett, Malcolm J. (2014) Systems analysis of auxin transport in the Arabidopsis root apex. Plant Cell, 26 (3). pp. 862-875. ISSN 1040-4651

Miguel-Pacheco, G.G., Kaler, Jasmeet, Remnant, J.G., Cheyne, Lydia, Abbott, Caroline, French, Andrew P., Pridmore, Tony P. and Huxley, Jonathan N. (2013) Behavioural changes in dairy cows with lameness in an automatic milking system. Applied Animal Behaviour Science, 150 . pp. 1-8. ISSN 0168-1591

Conference or Workshop Item

Atanbori, John, Chen, Feng, French, Andrew P. and Pridmore, Tony P. (2018) Towards low-cost image-based plant phenotyping using reduced-parameter CNN. In: CVPPP 2018: Workshop on Computer Vision Problems in Plant Phenotyping, 6 Sept 2018, Newcastle upon Tyne, UK.

Pound, Michael P., Atkinson, Jonathan A., Wells, Darren M., Pridmore, Tony P. and French, Andrew P. (2017) Deep learning for multi-task plant phenotyping. In: ICCV 2017 International Conference on Computer Vision, 22-29 October, 2017, Venice, Italy.

Gibbs, Jonathon, Pound, Michael P., Wells, Darren M., Murchie, Erik H., French, Andrew P. and Pridmore, Tony P. (2015) Three-dimensional reconstruction of plant shoots from multiple images using an active vision system. In: Agri-Food Robotics Workshop, 2 Oct 2015, Hamburg, Germany.

Other

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. and French, Andrew P. (2016) Deep machine learning provides state-of-the art performance in image-based plant phenotyping. Cold Spring Harbor Laboratory.