| Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping SC Chapman, T Merz, A Chan, P Jackway, S Hrabar, MF Dreccer, ... Agronomy 4 (2), 279-301, 2014 | 247 | 2014 |
| Breeding for the future: what are the potential impacts of future frost and heat events on sowing and flowering time requirements for Australian bread wheat (Triticum aestivium … B Zheng, K Chenu, M Fernanda Dreccer, SC Chapman Global Change Biology 18 (9), 2899-2914, 2012 | 227 | 2012 |
| The shifting influence of drought and heat stress for crops in Northeast Australia DB Lobell, GL Hammer, K Chenu, B Zheng, G McLean, SC Chapman Global change biology 21 (11), 4115-4127, 2015 | 179 | 2015 |
| Dynamic monitoring of NDVI in wheat agronomy and breeding trials using an unmanned aerial vehicle T Duan, SC Chapman, Y Guo, B Zheng Field Crops Research 210, 71-80, 2017 | 155 | 2017 |
| Frost trends and their estimated impact on yield in the Australian wheatbelt B Zheng, SC Chapman, JT Christopher, TM Frederiks, K Chenu Journal of Experimental Botany 66 (12), 3611-3623, 2015 | 119 | 2015 |
| Quantification of the effects of VRN1 and Ppd-D1 to predict spring wheat (Triticum aestivum) heading time across diverse environments B Zheng, B Biddulph, D Li, H Kuchel, S Chapman Journal of experimental botany 64 (12), 3747-3761, 2013 | 110 | 2013 |
| Crop design for specific adaptation in variable dryland production environments GL Hammer, G McLean, S Chapman, B Zheng, A Doherty, MT Harrison, ... Crop and Pasture Science 65 (7), 614-626, 2014 | 96 | 2014 |
| Comparison of ground cover estimates from experiment plots in cotton, sorghum and sugarcane based on images and ortho-mosaics captured by UAV T Duan, B Zheng, W Guo, S Ninomiya, Y Guo, SC Chapman Functional Plant Biology 44 (1), 169-183, 2016 | 89 | 2016 |
| Comparison of architecture among different cultivars of hybrid rice using a spatial light model based on 3-D digitising B Zheng, L Shi, Y Ma, Q Deng, B Li, Y Guo Functional Plant Biology 35 (10), 900-910, 2008 | 88 | 2008 |
| APSIM Next Generation: Overcoming challenges in modernising a farming systems model D Holzworth, NI Huth, J Fainges, H Brown, E Zurcher, R Cichota, S Verrall, ... Environmental Modelling & Software 103, 43-51, 2018 | 86 | 2018 |
| Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding P Hu, SC Chapman, X Wang, A Potgieter, T Duan, D Jordan, Y Guo, ... European Journal of Agronomy 95, 24-32, 2018 | 84 | 2018 |
| Dynamic quantification of canopy structure to characterize early plant vigour in wheat genotypes T Duan, SC Chapman, E Holland, GJ Rebetzke, Y Guo, B Zheng Journal of Experimental Botany 67 (15), 4523-4534, 2016 | 65 | 2016 |
| A weakly supervised deep learning framework for sorghum head detection and counting S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ... Plant Phenomics 2019, 2019 | 62 | 2019 |
| A weakly supervised deep learning framework for sorghum head detection and counting S Ghosal, B Zheng, SC Chapman, AB Potgieter, DR Jordan, X Wang, ... Plant Phenomics 2019, 2019 | 62 | 2019 |
| Aerial Imagery Analysis—Quantifying Appearance and Number of Sorghum Heads for Applications in Breeding and Agronomy W Guo, B Zheng, AB Potgieter, J Diot, K Watanabe, K Noshita, D Jordan, ... Frontiers in plant science 9, 1544, 2018 | 55 | 2018 |
| Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysis P Casadebaig, B Zheng, S Chapman, N Huth, R Faivre, K Chenu PLoS One 11 (1), e0146385, 2016 | 55 | 2016 |
| Assessment of the potential impacts of wheat plant traits across environments by combining crop modeling and global sensitivity analysis P Casadebaig, B Zheng, S Chapman, N Huth, R Faivre, K Chenu PLoS One 11 (1), e0146385, 2016 | 55 | 2016 |
| Recent changes in southern Australian frost occurrence: implications for wheat production risk SJ Crimp, B Zheng, N Khimashia, DL Gobbett, S Chapman, M Howden, ... Crop and Pasture Science 67 (8), 801-811, 2016 | 52 | 2016 |
| Do maize models capture the impacts of heat and drought stresses on yield? Using algorithm ensembles to identify successful approaches Z Jin, Q Zhuang, Z Tan, JS Dukes, B Zheng, JM Melillo Global change biology 22 (9), 3112-3126, 2016 | 44 | 2016 |
| The APSIM-Wheat Module (7.5 R3008) B Zheng, K Chenu, A Doherty, S Chapman CSIRO. Available: http://www. apsim. info/Portals/0/Documentation/Crops …, 2014 | 42 | 2014 |
Scott ChapmanThe University of QueenslandVerified email at uq.edu.au
