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 | 451 | 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 | 291 | 2018 |
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 | 194 | 2019 |
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 | 164 | 2016 |
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 | 125* | 2013 |
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 | 116 | 2019 |
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 | 109 | 2016 |
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 | 68 | 2020 |
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 | 57 | 2018 |
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 | 53 | 2019 |
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, 1-14, 2015 | 37 | 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 | 32 | 2005 |
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 | 28 | 2020 |
Field phenomics: will it enable crop improvement? DM Deery, HG Jones Plant Phenomics, 2021 | 26 | 2021 |
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 63 (2), 284-308, 2021 | 13 | 2021 |
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, 649-667, 2013 | 13 | 2013 |
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, 483-492, 2013 | 10 | 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 | 6 | 2009 |
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 | 5 | 2021 |
Plant Available Water Capacity–crop and varietal differences in soil water extraction K Verburg, X Li, D Deery, G Schwenke, P Poulton, A Wasson, ... GRDC Grains Research Update, online, 2021 | 5 | 2021 |