| 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 | 339 | 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 | 311 | 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 | 304 | 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 | 300 | 2017 |
| 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 | 248 | 2018 |
| Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ... Plant Phenomics, 2020 | 203 | 2020 |
| Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head detection methods E David, S Madec, P Sadeghi-Tehran, H Aasen, B Zheng, S Liu, ... Plant Phenomics, 2020 | 203 | 2020 |
| 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 | 200 | 2015 |
| 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 | 178 | 2014 |
| 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 | 164 | 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 | 164 | 2019 |
| 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 | 163 | 2018 |
| 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 | 152 | 2013 |
| 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 | 129 | 2016 |
| 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 | 118 | 2016 |
| Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat MA Hassan, M Yang, L Fu, A Rasheed, B Zheng, X Xia, Y Xiao, Z He Plant Methods 15, 1-12, 2019 | 112 | 2019 |
| 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 | 111 | 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 | 107 | 2008 |
| Global wheat head detection 2021: An improved dataset for benchmarking wheat head detection methods E David, M Serouart, D Smith, S Madec, K Velumani, S Liu, X Wang, ... Plant Phenomics, 2021 | 98* | 2021 |
| Designing crops for adaptation to the drought and high‐temperature risks anticipated in future climates GL Hammer, G McLean, E van Oosterom, S Chapman, B Zheng, A Wu, ... Crop Science 60 (2), 605-621, 2020 | 98 | 2020 |
Scott ChapmanThe University of Queensland在 uq.edu.au 的电子邮件经过验证
