Outputs (10)

Application of deep learning for the analysis of stomata: a review of current methods and future directions (2024)
Journal Article
Gibbs, J. A., & Burgess, A. J. (2024). Application of deep learning for the analysis of stomata: a review of current methods and future directions. Journal of Experimental Botany, 75(21), 6704-6718. https://doi.org/10.1093/jxb/erae207

Plant physiology and metabolism relies on the function of stomata, structures on the surface of above ground organs, which facilitate the exchange of gases with the atmosphere. The morphology of the guard cells and corresponding pore which make up th... Read More about Application of deep learning for the analysis of stomata: a review of current methods and future directions.

SOS: speed of stomata opening and closing is influenced by vapor pressure deficit (2024)
Journal Article
Burgess, A. J., & Ugalde, J. M. (2024). SOS: speed of stomata opening and closing is influenced by vapor pressure deficit. Plant Physiology, 195(1), 251-253. https://doi.org/10.1093/plphys/kiae066

Double trouble: Compound effects of heat and drought stress on carbon assimilation (2023)
Journal Article
Burgess, A. J. (2024). Double trouble: Compound effects of heat and drought stress on carbon assimilation. Plant Physiology, 194(3), 1255-1256. https://doi.org/10.1093/plphys/kiad647

HI from the Sky: Estimating harvest index from UAVs combined with machine learning (2023)
Journal Article
Burgess, A. J. (2024). HI from the Sky: Estimating harvest index from UAVs combined with machine learning. Plant Physiology, 194(3), 1257-1259. https://doi.org/10.1093/plphys/kiad611

The long and the short of it: Adaptation of carbon uptake and metabolic flux to different daylengths (2023)
Journal Article
Burgess, A. J., & Degen, G. E. (2024). The long and the short of it: Adaptation of carbon uptake and metabolic flux to different daylengths. Plant Physiology, 194(1), 317–318. https://doi.org/10.1093/plphys/kiad523

A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance Estimation (2021)
Journal Article
Gibbs, J. A., Mcausland, L., Robles-Zazueta, C. A., Murchie, E. H., & Burgess, A. J. (2021). A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance Estimation. Frontiers in Plant Science, 12, Article 780180. https://doi.org/10.3389/fpls.2021.780180

Stomata are integral to plant performance, enabling the exchange of gases between the atmosphere and the plant. The anatomy of stomata influences conductance properties with the maximal conductance rate, gsmax, calculated from density and size. Howev... Read More about A Deep Learning Method for Fully Automatic Stomatal Morphometry and Maximal Conductance Estimation.

A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations? (2019)
Journal Article
Burgess, A. J., Gibbs, J. A., & Murchie, E. H. (2019). A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?. Journal of Experimental Botany, 70(9), 2371-2380. https://doi.org/10.1093/jxb/ery424

Wind-induced movement is a ubiquitous occurrence for all plants grown in natural or agricultural settings and in the context of high, damaging wind speeds it has been well studied. However, the impact of lower wind speeds (that do not cause any damag... Read More about A canopy conundrum: can wind-induced movement help to increase crop productivity by relieving photosynthetic limitations?.

Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems (2017)
Journal Article
Burgess, A. J., Retkute, R., Pound, M. P., Mayes, S., & Murchie, E. H. (2017). Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems. Annals of Botany, 119(4), 517-532. https://doi.org/10.1093/aob/mcw242

Background and Aims: Intercropping systems contain two or more species simultaneously in close proximity. Due to contrasting features of the component crops, quantification of the light environment and photosynthetic productivity is extremely difficu... Read More about Image-based 3D canopy reconstruction to determine potential productivity in complex multi-species crop systems.

The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis (2016)
Journal Article
Burgess, A. J., Retkute, R., Preston, S. P., Jensen, O. E., Pound, M. P., Pridmore, T. P., & Murchie, E. H. (2016). The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis. Frontiers in Plant Science, 7(1392), https://doi.org/10.3389/fpls.2016.01392

Physical perturbation of a plant canopy brought about by wind is a ubiquitous phenomenon and yet its biological importance has often been overlooked. This is partly due to the complexity of the issue at hand: wind-induced movement (or mechanical exci... Read More about The 4-Dimensional Plant: Effects of Wind-Induced Canopy Movement on Light Fluctuations and Photosynthesis.

Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping (2016)
Preprint / Working Paper
Pound, M. P., Burgess, A. J., Wilson, M. H., Atkinson, J. A., Griffiths, M., Jackson, A. S., …French, A. P. Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Deep learning is an emerging field that promises unparalleled results on many data analysis problems. We show the success offered by such techniques when applied to the challenging problem of image-based plant phenotyping, and demonstrate state-of-th... Read More about Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping.