| Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches Y Cai, K Guan, D Lobell, AB Potgieter, S Wang, J Peng, T Xu, S Asseng, ... Agricultural and forest meteorology 274, 144-159, 2019 | 499 | 2019 |
| Advances in application of climate prediction in agriculture GL Hammer, JW Hansen, JG Phillips, JW Mjelde, H Hill, A Love, ... Agricultural systems 70 (2-3), 515-553, 2001 | 330 | 2001 |
| 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 | 212 | 2019 |
| Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines AB Potgieter, B George-Jaeggli, SC Chapman, K Laws, ... Frontiers in Plant Science 8, 1532, 2017 | 194 | 2017 |
| 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 | 186 | 2019 |
| Predicting wheat yield at the field scale by combining high-resolution Sentinel-2 satellite imagery and crop modelling Y Zhao, AB Potgieter, M Zhang, B Wu, GL Hammer Remote Sensing 12 (6), 1024, 2020 | 181 | 2020 |
| 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 | 177 | 2018 |
| Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO AB Potgieter, GL Hammer, D Butler Australian Journal of Agricultural Research 53 (1), 77-89, 2002 | 120 | 2002 |
| Using a general circulation model to forecast regional wheat yields in northeast Australia JW Hansen, A Potgieter, MK Tippett Agricultural and Forest Meteorology 127 (1-2), 77-92, 2004 | 109 | 2004 |
| An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty NK Newlands, DS Zamar, LA Kouadio, Y Zhang, A Chipanshi, A Potgieter, ... Frontiers in Environmental Science 2, 17, 2014 | 106 | 2014 |
| Rainfall variability at decadal and longer time scales: signal or noise? H Meinke, P DeVoil, GL Hammer, S Power, R Allan, RC Stone, C Folland, ... Journal of Climate 18 (1), 89-96, 2005 | 98 | 2005 |
| 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, DR Jordan, ... Frontiers in plant science 9, 1544, 2018 | 97 | 2018 |
| Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia A Potgieter, H Meinke, A Doherty, VO Sadras, G Hammer, S Crimp, ... Climatic change 117, 163-179, 2013 | 91 | 2013 |
| A simple regional-scale model for forecasting sorghum yield across North-Eastern Australia AB Potgieter, GL Hammer, A Doherty, P De Voil Agricultural and Forest Meteorology 132 (1-2), 143-153, 2005 | 90 | 2005 |
| Challenges and opportunities in remote sensing-based crop monitoring: A review B Wu, M Zhang, H Zeng, F Tian, AB Potgieter, X Qin, N Yan, S Chang, ... National Science Review 10 (4), nwac290, 2023 | 88 | 2023 |
| Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery AB Potgieter, A Apan, P Dunn, G Hammer Australian Journal of Agricultural Research 58 (4), 316-325, 2007 | 70 | 2007 |
| On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts AB Potgieter, YL Everingham, GL Hammer International Journal of Climatology: A Journal of the Royal Meteorological …, 2003 | 67 | 2003 |
| Yield trends under varying environmental conditions for sorghum and wheat across Australia AB Potgieter, DB Lobell, GL Hammer, DR Jordan, P Davis, J Brider Agricultural and Forest Meteorology 228, 276-285, 2016 | 62 | 2016 |
| Scaling up high-throughput phenotyping for abiotic stress selection in the field DT Smith, AB Potgieter, SC Chapman Theoretical and Applied Genetics 134 (6), 1845-1866, 2021 | 58 | 2021 |
| Evolution and application of digital technologies to predict crop type and crop phenology in agriculture AB Potgieter, Y Zhao, PJ Zarco-Tejada, K Chenu, Y Zhang, K Porker, ... in silico Plants 3 (1), diab017, 2021 | 54 | 2021 |
Holger MeinkeAdjunct Professor, University of Tasmania在 utas.edu.au 的电子邮件经过验证
Holger MeinkeAdjunct Professor, University of Tasmania在 utas.edu.au 的电子邮件经过验证