David Deery
David Deery
Verified email at csiro.au
Cited by
Cited by
Proximal remote sensing buggies and potential applications for field-based phenotyping
D Deery, J Jimenez-Berni, H Jones, X Sirault, R Furbank
Agronomy 4 (3), 349-379, 2014
High throughput determination of plant height, ground cover, and above-ground biomass in wheat with LiDAR
JA Jimenez-Berni, DM Deery, P Rozas-Larraondo, ATG Condon, ...
Frontiers in plant science 9, 237, 2018
A multisite managed environment facility for targeted trait and germplasm phenotyping
EGBLJEM Greg J. Rebetzke, Karine Chenu, Ben Biddulph, Carina Moeller, Dave M ...
Functional Plant Biology 40 (1), 1-13, 2013
Methodology for high-throughput field phenotyping of canopy temperature using airborne thermography
DM Deery, GJ Rebetzke, JA Jimenez-Berni, RA James, AG Condon, ...
Frontiers in plant science 7, 1808, 2016
High-throughput phenotyping technologies allow accurate selection of stay-green
GJ Rebetzke, JA Jimenez-Berni, WD Bovill, DM Deery, RA James
Journal of experimental botany 67 (17), 4919-4924, 2016
Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops
RT Furbank, JA Jimenez‐Berni, B George‐Jaeggli, AB Potgieter, ...
New Phytologist 223 (4), 1714-1727, 2019
High-throughput phenotyping to enhance the use of crop genetic resources
GJ Rebetzke, J Jimenez-Berni, RA Fischer, DM Deery, DJ Smith
Plant Science 282, 40-48, 2019
A practical method using a network of fixed infrared sensors for estimating crop canopy conductance and evaporation rate
HG Jones, PA Hutchinson, T May, H Jamali, DM Deery
biosystems engineering 165, 59-69, 2018
SensorDB: a virtual laboratory for the integration, visualization and analysis of varied biological sensor data
A Salehi, J Jimenez-Berni, DM Deery, D Palmer, E Holland, ...
Plant Methods 11 (1), 1-14, 2015
Influence of soil structure on the shrinkage behaviour of a soil irrigated with saline–sodic water
JB X. Peng, R. Horn, D. Deery, M. B. Kirkham
Soil Research 43 (4), 555–563, 2005
Evaluation of the phenotypic repeatability of canopy temperature in wheat using continuous-terrestrial and airborne measurements
DM Deery, GJ Rebetzke, JA Jimenez-Berni, WD Bovill, RA James, ...
Frontiers in plant science 10, 875, 2019
Genetic variation for photosynthetic capacity and efficiency in spring wheat
V Silva-Pérez, J De Faveri, G Molero, DM Deery, AG Condon, ...
Journal of experimental botany 71 (7), 2299-2311, 2020
Uptake of water from a Kandosol subsoil. II. Control of water uptake by roots
DM Deery, JB Passioura, JR Condon, A Katupitiya
Plant and soil 368 (1), 649-667, 2013
Ground-based LiDAR improves phenotypic repeatability of above-ground biomass and crop growth rate in wheat
DM Deery, GJ Rebetzke, JA Jimenez-Berni, AG Condon, DJ Smith, ...
Plant Phenomics 2020, 2020
Uptake of water from a Kandosol subsoil: I. Determination of soil water diffusivity
DM Deery, JB Passioura, JR Condon, A Katupitiya
Plant and soil 368 (1), 483-492, 2013
Phenonet: A distributed sensor network for field crop phenotyping
B Furbank, X Sirault, D Deery
Proc. 1st International Plant Phenomics Symposium: from Gene to Form and …, 2009
Water uptake by a single plant: Analysis using experimentation and modeling
D Deery
Charles Sturt University, 2008
Plant water uptake at the single plant scale: experiment vs. model
DM Deery, JB Passioura, J Condon, A Katupitiya
AGU Fall Meeting Abstracts 2008, H13E-0978, 2008
Modelling temporal genetic and spatio‐temporal residual effects for high‐throughput phenotyping data
AP Verbyla, J De Faveri, DM Deery, GJ Rebetzke
Australian & New Zealand Journal of Statistics, 2021
Impact of Varying Light and Dew on Ground Cover Estimates from Active NDVI, RGB, and LiDAR
DM Deery, DJ Smith, R Davy, JA Jimenez-Berni, GJ Rebetzke, RA James
Plant Phenomics 2021, 2021
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