Associate Professor Andries Potgieter
Principal Research Fellow
Queensland Alliance for Agriculture and Food Innovation
+61 7 344 33465
Researcher biography
Professor Andries B. Potgieter is a Principal Research Fellow at the Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland, and an international leader in Digital Agriculture. With a career spanning over 35 years across government, industry, and academia, his research integrates remote sensing, climate forecasting, and crop–climate modelling to support resilient, data-driven decision-making in agriculture. He is currently a key research collaborator in the $36 million GRDC-funded Analytics for the Australian Grains Industry (AAGI) initiative, where he leads digital analytics activities within UQ.
Professor Potgieter's work focuses on developing predictive tools that combine satellite Earth observation, machine learning, and crop simulation to improve seasonal forecasting, crop monitoring, and risk management. He has pioneered widely adopted innovations such as the CropID tool, now commercialised via Data Farming Pty Ltd, and his models have influenced decision frameworks at Statistics Canada and the FAO. His 114 peer-reviewed publications have accrued over 4,000 citations, and his Field-Weighted Citation Impact (FWCI) places him in the top 5% of researchers globally.
He has built a thriving interdisciplinary research program and mentoring pipeline, supervising PhD, Masters, and MoDS students, and supporting postdoctoral researchers who now work at AWS, Sugar Research Australia, and the Chinese Academy of Agricultural Sciences. His leadership in global partnerships has positioned UQ as a preferred academic collaborator for international institutions tackling climate-smart agriculture.
Current projects
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Analytics for the Australian Grains Industry (AAGI) – Digital analytics for yield forecasting and decision tools for grain growers (GRDC)
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CropVision – Satellite remote sensing and AI for field-scale crop production forecasting (ARC Linkage)
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RiskSSmart – Integration of Earth observation and climate models for sorghum risk mitigation (SmartSat CRC)
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Root Phenomics – Linking above-ground sensing to root system architecture to accelerate phenotyping of drought-tolerant cereals (GRDC; Chief Investigator)
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ARC Training Centre for Predictive Breeding in Agricultural Futures – Developing next-generation tools and training pathways for climate-resilient crop improvement (ARC Industrial Transformation Training Centres; Collaborating Investigator)
Previous research highlights
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Late Maturity Alpha Amylase (LMA) Risk Modelling – National-scale risk prediction framework for wheat quality (GRDC)
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CropPhen – High-throughput phenotyping for crop type and growth stage detection via drone/UAV (GRDC)
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SIMLESA and YieldShield – Groundbreaking work in food insecurity mapping and climate risk insurance across eastern and southern Africa
| Featured projects | Duration |
|---|---|
| Crop production forecasting systems at a regional scale |
Publications
Book Chapters
Wang, Enli, Teixeira, Edmar, Zheng, Bangyou, Hughes, Neal, Chenu, Karine, Hunt, James, Ghahramani, Afshin, Potgieter, Andries B., Zhu, Junqi, Cichota, Rogerio and Huth, Neil (2023). Modelling the impact of climate change on agriculture in Australia and Oceania. Modelling climate change impacts on agricultural systems. (pp. 481-540) edited by Claas Nendel. Cambridge, United Kingdom: Burleigh Dodds Science Publishing. doi: 10.19103/as.2022.0115.17
Ciampitti, I. A., Prasad, P. V. Vara, Kumar, S. R., Kubsad, V. S., Adam, M., Eyre, J. X., Potgieter, A. B., Clarke, S. J. and Gambin, B. (2020). Sorghum management systems and production technology around the globe. Sorghum in the 21st Century: Food - Fodder - Feed - Fuel for a Rapidly Changing World. (pp. 251-293) edited by Vilas A. Tonapi, Harvinder Singh Talwar, Ashok Kumar Are, B. Venkatesh Bhat, Ch. Ravinder Reddy and Timothy J. Dalton. Singapore: Springer. doi: 10.1007/978-981-15-8249-3_11
Potgieter, Andries B., Watson, James, George-Jaeggli, Barbara, McLean, Gregory, Eldridge, Mark, Chapman, Scott C., Laws, Kenneth, Christopher, Jack, Chenu, Karine, Borrell, Andrew, Hammer, Graeme and Jordan, David R. (2019). The use of hyperspectral proximal sensing for phenotyping of plant breeding trials. Fundamentals, sensor systems, spectral libraries, and data mining for vegetation. (pp. 127-148) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL United States: CRC Press. doi: 10.1201/9781315164151-5
Chapman, Scott C., Zheng, Bangyou, Potgieter, Andries B., Guo, Wei, Baret, Frederic, Liu, Shouyang, Madec, Simon, Solan, Benoit, George-Jaeggli, Barbara, Hammer, Graeme L. and Jordan, David R. (2018). Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials. Biophysical and biochemical characterization and plant species studies. (pp. 275-299) edited by Prasad S. Thenkabail, John G. Lyon and Alfredo Huete. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9780429431180-10
Dimes, John, Rodriguez, Daniel and Potgieter, Andries (2015). Raising productivity of maize-based cropping systems in eastern and southern Africa: Step-wise intensification options. Crop Physiology Applications for Genetic Improvement and Agronomy. (pp. 93-110) edited by Sadras, Victor O and Calderini, Daniel F. United States of America: Elsevier : Academic Press. doi: 10.1016/B978-0-12-417104-6.00005-4
Journal Articles
Van Haeften, Shanice, Smith, Daniel, Robinson, Hannah, Dudley, Caitlin, Kang, Yichen, Douglas, Colin A., Hickey, Lee T., Potgieter, Andries, Chapman, Scott and Smith, Millicent R. (2025). Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean. The Plant Phenome Journal, 8 (1) e70016, 1-18. doi: 10.1002/ppj2.70016
Nguyen, Dung, de Voil, Peter, Potgieter, Andries, Dang, Yash P., Orton, Thomas G., Nguyen, Duc Thanh, Nguyen, Thanh Thi and Chapman, Scott C. (2025). Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data. Agricultural Water Management, 307 109124, 1-12. doi: 10.1016/j.agwat.2024.109124
Smith, Daniel T. L., Chen, Qiaomin, Massey-Reed, Sean Reynolds, Potgieter, Andries B. and Chapman, Scott C. (2024). Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location. Plant Methods, 20 (1) 129. doi: 10.1186/s13007-024-01236-w
Hu, Pengcheng, Zheng, Bangyou, Chen, Qiaomin, Grunefeld, Swaantje, Choudhury, Malini Roy, Fernandez, Javier, Potgieter, Andries and Chapman, Scott C. (2024). Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data. Remote Sensing of Environment, 311 114277, 1-15. doi: 10.1016/j.rse.2024.114277
Kang, Yichen, Alahmad, Samir, Haeften, Shanice V., Akinlade, Oluwaseun, Tong, Jingyang, Dinglasan, Eric, Voss‐Fels, Kai P., Potgieter, Andries B., Borrell, Andrew K., Makhoul, Manar, Obermeier, Christian, Snowdon, Rod, Mace, Emma, Jordan, David R. and Hickey, Lee T. (2024). Mapping quantitative trait loci for seminal root angle in a selected durum wheat population. The Plant Genome, 18 (1) e20490, e20490. doi: 10.1002/tpg2.20490
Kang, Yichen, Rambla, Charlotte, Haeften, Shanice V., Fu, Brendan, Akinlade, Oluwaseun, Potgieter, Andries B., Borrell, Andrew K., Mace, Emma, Jordan, David R., Alahmad, Samir and Hickey, Lee T. (2024). Seminal root angle is associated with root system architecture in durum wheat. Food and Energy Security, 13 (4) e570. doi: 10.1002/fes3.570
Xie, Zunyi, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Hammer, Graeme, Chapman, Scott, Brider, Jason and Potgieter, Andries B. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 114070, 1-14. doi: 10.1016/j.rse.2024.114070
Van Haeften, Shanice, Kang, Yichen, Dudley, Caitlin, Potgieter, Andries, Robinson, Hannah, Dinglasan, Eric, Wenham, Kylie, Noble, Thomas, Kelly, Lisa, Douglas, Colin A, Hickey, Lee and Smith, Millicent R (2024). Fusarium wilt constrains mungbean yield due to reduction in source availability. AoB Plants, 16 (2) plae021, plae021. doi: 10.1093/aobpla/plae021
Van Haeften, Shanice, Dudley, Caitlin, Kang, Yichen, Smith, Daniel, Nair, Ramakrishnan M., Douglas, Colin A., Potgieter, Andries, Robinson, Hannah, Hickey, Lee T. and Smith, Millicent R. (2023). Featured cover. Food and Energy Security, 12 (6). doi: 10.1002/fes3.516
Van Haeften, Shanice, Dudley, Caitlin, Kang, Yichen, Smith, Daniel, Nair, Ramakrishnan M., Douglas, Colin A., Potgieter, Andries, Robinson, Hannah, Hickey, Lee T. and Smith, Millicent R. (2023). Building a better Mungbean: breeding for reproductive resilience in a changing climate. Food and Energy Security, 12 (6) e467. doi: 10.1002/fes3.467
Myint Swe, Than, Williams, Wendy J., Schmidt, Susanne, Potgieter, Andries, Cowley, Robyn, Mellor, Vincent, Driscoll, Colin and Zhao, Yan (2023). Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland. The Rangeland Journal, 44 (6), 263-278. doi: 10.1071/rj22019
James, Chrisbin, Gu, Yanyang, Potgieter, Andries, David, Etienne, Madec, Simon, Guo, Wei, Baret, Frédéric, Eriksson, Anders and Chapman, Scott (2023). From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection. Plant Phenomics, 5 0017, 1-16. doi: 10.34133/plantphenomics.0017
Wu, Alex, Brider, Jason, Busch, Florian A., Chen, Min, Chenu, Karine, Clarke, Victoria C., Collins, Brian, Ermakova, Maria, Evans, John R., Farquhar, Graham D., Forster, Britta, Furbank, Robert T., Gorszmann, Michael, Hernandez, Miguel A., Long, Benedict M., Mclean, Greg, Potgieter, Andries, Dean Price, G., Sharwood, Robert E., Stower, Michael, van Oosterom, Erik, von Caemmerer, Susanne, Whitney, Spencer M. and Hammer, Graeme L. (2023). A cross‐scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments. Plant, Cell & Environment, 46 (1), 23-44. doi: 10.1111/pce.14453
Wu, Bingfang, Zhang, Miao, Zeng, Hongwei, Tian, Fuyou, Potgieter, Andries B., Qin, Xingli, Yan, Nana, Chang, Sheng, Zhao, Yan, Dong, Qinghan, Boken, Vijendra, Plotnikov, Dmitry, Guo, Huadong, Wu, Fangming, Zhao, Hang, Deronde, Bart, Tits, Laurent and Loupian, Evgeny (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review, 10 (4) nwac290, 1-34. doi: 10.1093/nsr/nwac290
Wu, Alex, Brider, Jason, Busch, Florian A., Chen, Min, Chenu, Karine, Clarke, Victoria C., Collins, Brian, Ermakova, Maria, Evans, John R., Farquhar, Graham D., Forster, Britta, Furbank, Robert T., Groszmann, Michael, Hernandez‐Prieto, Miguel A., Long, Benedict M., Mclean, Greg, Potgieter, Andries, Price, G. Dean, Sharwood, Robert E., Stower, Michael, van Oosterom, Erik, von Caemmerer, Susanne, Whitney, Spencer M. and Hammer, Graeme L. (2022). Cover Image. Plant, Cell & Environment, 46 (1). doi: 10.1111/pce.14512
Potgieter, Andries B, Schepen, Andrew, Brider, Jason and Hammer, Graeme L (2022). Lead time and skill of Australian wheat yield forecasts based on ENSO-analogue or GCM-derived seasonal climate forecasts – A comparative analysis. Agricultural and Forest Meteorology, 324 109116, 1-12. doi: 10.1016/j.agrformet.2022.109116
Zhi, Xiaoyu, Hammer, Graeme, Borrell, Andrew, Tao, Yongfu, Wu, Alex, Hunt, Colleen, van Oosterom, Erik, Massey-Reed, Sean Reynolds, Cruickshank, Alan, Potgieter, Andries B., Jordan, David, Mace, Emma and George-Jaeggli, Barbara (2022). Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency. Theoretical and Applied Genetics, 135 (9), 3057-3071. doi: 10.1007/s00122-022-04167-z
Zhi, Xiaoyu, Massey-Reed, Sean Reynolds, Wu, Alex, Potgieter, Andries, Borrell, Andrew, Hunt, Colleen, Jordan, David, Zhao, Yan, Chapman, Scott, Hammer, Graeme and George-Jaeggli, Barbara (2022). Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum. Plant Phenomics, 2022 9768502, 1-18. doi: 10.34133/2022/9768502
Zhi, Xiaoyu, Tao, Yongfu, Jordan, David, Borrell, Andrew, Hunt, Colleen, Cruickshank, Alan, Potgieter, Andries, Wu, Alex, Hammer, Graeme, George-Jaeggli, Barbara and Mace, Emma (2021). Genetic control of leaf angle in sorghum and its effect on light interception. Journal of Experimental Botany, 73 (3) erab467, 801-816. doi: 10.1093/jxb/erab467
Zhao, Yan, Zheng, Bangyou, Chapman, Scott C., Laws, Kenneth, George-Jaeggli, Barbara, Hammer, Graeme L., Jordan, David R. and Potgieter, Andries B. (2021). Detecting sorghum plant and head features from multispectral UAV imagery. Plant Phenomics, 2021 9874650, 9874650-14. doi: 10.34133/2021/9874650
Smith, Daniel T., Potgieter, Andries B. and Chapman, Scott C. (2021). Scaling up high-throughput phenotyping for abiotic stress selection in the field. Theoretical and Applied Genetics, 134 (6), 1845-1866. doi: 10.1007/s00122-021-03864-5
Potgieter, A. B., Zhao, Yan, Zarco-Tejada, Pablo J, Chenu, Karine, Zhang, Yifan, Porker, Kenton, Biddulph, Ben, Dang, Yash P., Neale, Tim, Roosta, Fred and Chapman, Scott (2021). Evolution and application of digital technologies to predict crop type and crop phenology in agriculture. In Silico Plants, 3 (1) diab017, 1-23. doi: 10.1093/insilicoplants/diab017
Liedtke, J. D., Hunt, C. H., George-Jaeggli, B., Laws, K., Watson, J., Potgieter, A. B., Cruickshank, A. and Jordan, D. R. (2020). High-throughput phenotyping of dynamic canopy traits associated with stay-green in grain sorghum. Plant Phenomics, 2020 4635153, 1-10. doi: 10.34133/2020/4635153
Zhao, Yan, Potgieter, Andries B., Zhang, Miao, Wu, Bingfang and Hammer, Graeme L. (2020). Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling. Remote Sensing, 12 (6) 1024, 1024. doi: 10.3390/rs12061024
Armstrong, Robert N., Potgieter, Andries B., Mares, Daryl J., Mrva, Kolumbina, Brider, Jason and Hammer, Graeme L. (2019). An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia. Crop and Pasture Science, 71 (1), 1-11. doi: 10.1071/cp19005
Furbank, Robert T., Jimenez‐Berni, Jose A., George‐Jaeggli, Barbara, Potgieter, Andries B. and Deery, David M. (2019). Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops. New Phytologist, 223 (4) nph.15817, 1714-1727. doi: 10.1111/nph.15817
Cai, Yaping, Guan, Kaiyu, Lobell, David, Potgieter, Andries B., Wang, Shaowen, Peng, Jian, Xu, Tianfang, Asseng, Senthold, Zhang, Yongguang, You, Liangzhi and Peng, Bin (2019). Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches. Agricultural and Forest Meteorology, 274, 144-159. doi: 10.1016/j.agrformet.2019.03.010
Ghosal, Sambuddha, Zheng, Bangyou, Chapman, Scott C., Potgieter, Andries B., Jordan, David R., Wang, Xuemin, Singh, Asheesh K., Singh, Arti, Hirafuji, Masayuki, Ninomiya, Seishi, Ganapathysubramanian, Baskar, Sarkar, Soumik and Guo, Wei (2019). A weakly supervised deep learning framework for sorghum head detection and counting. Plant Phenomics, 2019 1525874, 1525874-14. doi: 10.34133/2019/1525874
Newlands, Nathaniel K., Porcelli, Tracy A., Potgieter, Andries B., Kouadio, Louis, Huete, Alfredo and Guo, Wei (2019). Editorial: Building and delivering real-world, integrated sustainability solutions: Insights, methods and case-study applications. Frontiers in Environmental Science, 7 (May) 71. doi: 10.3389/fenvs.2019.00071
Guo, Wei, Zheng, Bangyou, Potgieter, Andries B., Diot, Julien, Watanabe, Kakeru, Noshita, Koji, Jordan, David R., Wang, Xuemin, Watson, James, Ninomiya, Seishi and Chapman, Scott C. (2018). Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy. Frontiers in Plant Science, 9 1544, 1544. doi: 10.3389/fpls.2018.01544
Hu, Pengcheng, Chapman, Scott C., Wang, Xuemin, Potgieter, Andries, Duan, Tao, Jordan, David, Guo, Yan and Zheng, Bangyou (2018). Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding. European Journal of Agronomy, 95, 24-32. doi: 10.1016/j.eja.2018.02.004
Potgieter, Andries B., George-Jaeggli, Barbara, Chapman, Scott C., Laws, Kenneth, Cadavid, Luz A. Suarez, Wixted, Jemima, Watson, James, Eldridge, Mark, Jordan, David R. and Hammer, Graeme L. (2017). Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines. Frontiers in Plant Science, 8 1532. doi: 10.3389/fpls.2017.01532
Potgieter, Andries B., Lobell, David B., Hammer, Graeme L., Jordan, David R., Davis, Peter and Brider, Jason (2016). Yield trends under varying environmental conditions for sorghum and wheat across Australia. Agricultural and Forest Meteorology, 228-229, 276-285. doi: 10.1016/j.agrformet.2016.07.004
Kouadio, Louis, Newlands, Nathaniel, Potgieter, Andries, McLean, Greg and Hill, Harvey (2015). Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool. Agricultural Sciences, 6 (7), 686-698. doi: 10.4236/as.2015.67066
Newlands, Nathaniel K., Zamar, David S., Kouadio, Louis A., Zhang, Yinsuo, Chipanshi, Aston, Potgieter, Andries, Toure, Souleymane and Hill, Harvey S. J. (2015). An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty. Frontiers in Environmental Science, 2 (17) 17, 1-21. doi: 10.3389/fenvs.2014.00017
Potgieter, A. B., Power, B., Mclean, J., Davis, P. and Rodriguez, D. (2014). Spatial estimation of wheat yields from Landsat's visible, near infrared and thermal reflectance bands. International Journal of Remote Sensing Application, 4 (3), 134-143. doi: 10.14355/ijrsa.2014.0403.03
Potgieter, A., Meinke, H., Doherty, A., Sadras, V. O., Hammer, G., Crimp, S. and Rodriguez, D. (2013). Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia. Climatic Change, 117 (1-2), 163-179. doi: 10.1007/s10584-012-0543-0
Potgieter, A. B., Lawson, K. and Huete, A. R. (2013). Determining crop acreage estimates for specific winter crops using shape attributes from sequential MODIS imagery. International Journal of Applied Earth Observation and Geoinformation, 23 (1), 254-263. doi: 10.1016/j.jag.2012.09.009
Potgieter, Andries, Apan, Armando, Hammer, Graeme and Dunn, Peter (2011). Estimating winter crop area across seasons and regions using time-sequential MODIS imagery. International Journal of Remote Sensing, 32 (15), 4281-4310. doi: 10.1080/01431161.2010.486415
Potgieter, A. B., Apan, A., Hammer, G. and Dunn, P. (2010). Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery. Isprs Journal of Photogrammetry And Remote Sensing, 65 (4), 380-387. doi: 10.1016/j.isprsjprs.2010.04.004
Doherty, A., Sadras, V. O., Rodriguez, D. and Potgieter, A. (2010). Quantification of wheat water-use efficiency at the shire-level in Australia. Crop and Pasture Science, 61 (1), 1-11. doi: 10.1071/CP09157
Stone, R.C. and Potgieter, A. (2008). Drought risk and vulnerability in rainfed agriculture: Example of a case study from Australia., Drought management: scientific and technological innovations. Options Méditerranéennes, Series A (80), 29-40.
Potgieter, A. B., ApanA, DunnP and HammerGL (2007). Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery. Australian Journal of Agricultural Research, 58 (4), 316-325. doi: 10.1071/AR06279
Potgieter, A. B., Hammer, G. L., Doherty, A. and de Voil, P. (2005). A simple regional-scale model for forecasting sorghum yield across North-Eastern Australia. Agricultural And Forest Meteorology, 132 (1-2), 143-153. doi: 10.1016/j.agrformet.2005.07.009
Meinke, H., deVoil, P., Hammer, G. L., Power, S., Allan, R., Stone, R. C., Folland, C. and Potgieter, A. (2005). Rainfall variability at decadal and longer time scales: signal or noise?. Journal of Climate, 18 (1), 89-96. doi: 10.1175/JCLI-3263.1
Potgieter, A. B., Hammer, G. L., Meinke, H., Stone, R. C. and Goddard, L. (2005). Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield. Journal Of Climate, 18 (10), 1566-1574. doi: 10.1175/JCLI3349.1
Hansen, James W., Potgieter, Andries and Tippett, Michael K. (2004). Using a general circulation model to forecast regional wheat yields in northeast Australia. Agricultural and Forest Meteorology, 127 (1-2), 77-92. doi: 10.1016/j.agrformet.2004.07.005
Potgieter, AB, Everingham, YL and Hammer, GL (2003). On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts. International Journal of Climatology, 23 (10), 1195-1210. doi: 10.1002/joc.932
Potgieter, AB, Hammer, GL and Butler, D (2002). Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO. Australian Journal of Agricultural Research, 53 (1), 77-89. doi: 10.1071/AR01002
Hammer, GL, Hansen, JW, Phillips, JG, Mjelde, JW, Hill, H, Love, A and Potgieter, A (2001). Advances in application of climate prediction in agriculture. Agricultural Systems, 70 (2-3), 515-553. doi: 10.1016/S0308-521X(01)00058-0
de Jager, J.M., Potgieter, A.B. and van den Berg, W.J. (1998). Framework for forecasting the extent and severity of drought in maize in the Free State Province of South Africa. Agricultural Systems, 57 (3), 351-365. doi: 10.1016/S0308-521X(98)00023-7
Singels, A. and Potgieter, A. B. (1997). A technique to evaluate ENSO-based maize production strategies. South African Journal of Plant and Soil, 14 (3), 93-97. doi: 10.1080/02571862.1997.10635088
Conference Papers
Devoto, F., Reynolds-Massey-Reed, S., Segura, Pinzon C., Bell, M., Mclaren, T., Awale, R., Camino, C., Bange, M., Woodgate, W., Chapman, S. and Potgieter, A. B. (2024). Insights in the ability of high-resolution narrow band multispectral and thermal sensors to estimate cotton production in Australia. 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 7-12 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/igarss53475.2024.10642663
Potgieter, A. B., Camino, C., Poblete, T., Zhi, X., Reynolds-Massey-Reed, S., Zhao, Y., Belwalkar, A., Ruizhu, J., George-Jaeggli, B., Chapman, S., Jordan, D., Wu, A., Hammer, G. L. and J, Zarco-Tejada P. (2023). Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning. 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA USA, 16-21 July 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss52108.2023.10282230
Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Global Sorghum Conference Sorghum in the 21st Century, Montpellier, France, 5-9 June 2023.
Javier A. Fernandez, Hu, Pengcheng, Chen, Zhi, Gho Brito, Carla, Segura Pinzon, Camilo, Chen, Qiaomin, Smith, Daniel, Arief, Vivi, Zheng, Bangyou, Potgieter, Andries, Zhao, Yan, Ramakers, Jip, Hemerik, Jesse, van Eeuwijk, Fred and Chapman, Scott C. (2023). Environment characterisation of sorghum (Sorghum bicolor L.) crops using climate, satellite imagery, and crop simulation modelling in Australia. Global Sorghum Conference, Montpellier, France, 5-9 June 2023.
Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Reed, Sean, Hunt, Colleen, Chapman, Scott, Philp, Trevor, Fekybelu, Solomon, Potgieter, Andries, Godwin, Ian, Hammer, Graeme, Mace, Emma and Jordan, David (2023). Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.
Smith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Kohl, Theresa, Douglas, Colin, Ryan, Merrill, Potgieter, Andries, Chapman, Scott, Robinson, Hannah, Dinglasan, Eric and Hickey, Lee (2023). Physiological insight to improve mungbean productivity. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.
Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Dudley, Caitlin, Ryan, Merrill, Smith, Millicent, Chapman, Scott, Robinson, Hannah, Potgieter, Andries and Hickey, Lee (2023). Understanding the genetics of mungbean senescence behaviour using longitudinal UAV data. Australian Summer Grains Conference, Gold Coast, QLD Australia, 13-15 March 2023.
Kang, Y., Alahmad, S., Smith, D., van Haeften, S., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu K, Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Chapman, S., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systems. 7th International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 November 2022.
Smith, Millicent, Van Haeften, Shanice, Dudley, Caitlin, Douglas, Colin, Ryan, Merrill, Potgieter, Andries, Robinson, Hannah and Hickey, Lee (2022). Physiological insight to improve mungbean productivity. TropAg International Agriculture Conference, Brisbane, QLD Australia, 31 October - 2 November 2022.
Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Dudley, Caitlin, Ryan, Merrill, Smith, Millicent, Chapman, Scott, Robinson, Hannah, Potgieter, Andries and Hickey, Lee (2022). Understanding the genetics of mungbean canopy development using longitudinal UAV data. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 September 2022.
Smith, Millicent, Campbell, Bradley, Restall, Jemma, Dudley, Caitlin, Van Haeften, Shanice, Godwin, Ian, Chapman, Scott, Sukal, Amit, Robinson, Hannah, Ryan, Merrill, Potgieter, Andries and Hickey, Lee (2022). Phenotyping innovations to harness genetic diversity for climate resilience. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 September 2022.
Kang, Y., Alahmad, S., Aldiss, Z., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Potgieter, A.B., Jordan, D.R., Borrell, A.K., Wasson, A. and Hickey, L.T. (2022). From lab to field: a major QTL to modify root system architecture in elite durum wheat. International Wheat Congress, Beijing, China, 11-15 September 2022.
Alahmad, S., Kang, Y., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Smith, D., Chapman, S., Watt, M., Ober, E., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars. Wheat Breeding Assembly, Narrabri, NSW Australia, 28-31 August 2022.
Kang, Y., Alahmad, S., Aldiss, Z., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Potgieter, A.B., Jordan, D.R., Borrell, A.K., Wasson, A. and Hickey, L.T. (2022). A major QTL to modify root system architecture in elite durum wheat. Wheat Breeding Assembly, Narrabri, NSW Australia, 28-31 August 2022.
Van Haeften, Shanice, Dudley, Caitlin, Douglas, Colin, Udvardi, Michael, Massel, Karen, Beveridge, Christine, Robinson, Hannah, Hickey, Lee, Potgieter, Andries and Smith, Millicent (2022). New technologies to accelerate mungbean improvement. Queensland Legume Symposium, Brisbane, QLD, Australia, 22 July 2022.
Van Haeften, Shanice, Hickey, Lee, Douglas, Colin, Smith, Millicent, Robinson, Hannah and Potgieter, Andries (2022). UAV-based technologies to reveal the secrets of mungbean yield. Australasian Plant Breeding Conference, Gold Coast, QLD, Australia, 9-11 May 2022.
Armstrong, Robert, Hammer, Graeme and Potgieter, Andries (2022). Frequency analysis of environment types associated with late-maturity alpha-amylase for Australian wheat under current and future climates. 20th Australian Agronomy Conference , Toowoomba, QLD Australia, 19-22 September 2022. Australian Society of Agronomy.
Das, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530
Nguyen, Dung, Zhao, Yan, Zhang, Yifan, Huynh, Anh Ngoc-Lan, Roosta, Fred, Hammer, Graeme, Chapman, Scott and Potgieter, Andries (2022). Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS46834.2022.9883737
Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Potgieter, Andries, Voss-Fels, Kai, Hickey, Lee and Smith, Millicent (2021). Improving mungbean productivity. Australian Society of Plant Scientists Conference, Brisbane/Hybrid, 25 November 2021.
Van Haeften, Shanice, Kang, Yichen, Douglas, Colin, Potgieter, Andries, Voss-Fels, Kai, Hickey, Lee and Smith, Millicent (2021). Exploring variation in key traits to improve mungbean productivity. Bean Improvement Co-operative & North American Pulse Improvement Association Biennial Meeting, Virtual, 2-3 November 2021.
James, Chrisbin, Gu, Yanyang, Chapman, Scott, Guo, Wei, David, Etienne, Madec, Simon, Potgieter, Andries and Eriksson, Anders (2021). Domain adaptation for plant organ detection with style transfer. International Conference on Digital Image Computing - Techniques and Applications (DICTA), Online, 29 November - 1 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA52665.2021.9647293
Potgieter, A.B., Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Reynolds Massey-Reed, Sean, Lamprecht, Marnie, Liedtke, Jana D., Zhao, Yan, Chapman, Scott, Borrell, Andrew K., Mace, Emma S., Hammer, Graeme L. and Jordan, David R. (2020). Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials. Interdrought 2020, Mexico City, Mexico, 9-13 March 2020.
George-Jaeggli, Barbara, Zhi, Xiaoyue, Wu, Alex, Potgieter, Andries, Reynolds Massey-Reed, Sean, Watson, James, Hunt, Colleen, Lamprecht, Marnie, Chapman, Scott, Borrell, Andrew, Jordan, David and Hammer, Graeme (2019). Seeing canopy photosynthesis through the eyes of a Gecko. Innovations in Agriculture for Food Security, Brisbane, QLD Australia, 30 June - 3 July 2019.
Potgieter, Andries, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Guo, Wei, Watson, James, Reynolds Massey-Reed, Sean, Chapman, Scott, Hammer, Graeme and Jordan, David (2019). Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials. Australian Summer Grains Conference, Gold Coast, QLD, Australia, 8-10 July 2019.
George-Jaeggli, Barbara, Potgieter, Andries, Zhi, Xiaoyu, Reynolds Massey-Reed, Sean, Watson, James, Lamprecht, Marnie, Chapman, Scott, Laws, Kenneth, Hunt, Colleen, Borrell, Andrew, Jordan, David, van Oosterom, Erik, Wu, Alex and Hammer, Graeme (2019). High-throughput phenotyping of canopy radiation use efficiency and its component traits. 6th International Plant Phenotyping Symposium, Nanjing, China, 22-26 October 2019.
Potgieter, Andries, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Guo, Wei, Reynolds Massey-Reed, Sean, Chapman, Scott, Borrell, Andrew, Mace, Emma, Hammer, Graeme and Jordan, David (2019). Predicting lodging using sensing technologies to enhance selection in sorghum breeding trials. 6th International Plant Phenotyping Symposium, Nanjing, China, 22-26 October 2019.
George-Jaeggli, Barbara, Potgieter, Andries, Zhi, Xiaoyu, Reynolds Massey-Reed, Sean, Watson, James, Lamprecht, Marnie, Chapman, Scott, Laws, Kenneth, Hunt, Colleen, Borrell, Andrew, Jordan, David, van Oosterom, Erik, Wu, Alex and Hammer, Graeme (2019). High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level. TropAg 2019, Brisbane, QLD Australia, 10-13 November 2019.
Potgieter, Andries B., Watson, James, Eldridge, Mark, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Borrell, Andrew, Mace, Emma, Chapman, Scott C., Jordan, David R. and Hammer, Graeme L. (2018). Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, Jul 22-27, 2018. NEW YORK: IEEE. doi: 10.1109/IGARSS.2018.8519296
George-Jaeggli, Barbara, Watson, James and Potgieter, Andries (2018). An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghum. Combio, Sydney, Australia, 23-26 September 2018.
Potgieter, Andries, Watson, James, Eldridge, Mark, Laws, Kenneth, George-Jaeggli, Barbara, Hunt, Colleen, Chapman, Scott, Jordan, David and Hammer, Graeme (2018). Field phenotyping of sorghum breeding trials through proximal sensing technologies. Sorghum in the 21st Century, Cape Town, South Africa, 9-12 April 2018.
George-Jaeggli, Barbara, Watson, James and Potgieter, Andries (2018). An integrated sensing approach to map the genetic loci associated with canopy radiation use efficiency in sorghum. 5th International Plant Phenotyping Symposium, Adelaide, Australia, 2-5 October 2018.
George-Jaeggli, Barbara, Potgieter, Andries, James, Watson, Chapman, Scott, Zheng, Bangyou, Eldridge, Mark, Laws, Kenneth, Mace, Emma, Hunt, Colleen, Hathorn, Adrian, Borrell, Andrew, Hammer, Graeme and Jordan, David (2018). Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern region. 2nd Asia-Pacific Plant Phenotyping Conference, Nanjing, China, 23- 25 March 2018.
George-Jaeggli, Barbara, Potgieter, Andries, Chapman, Scott, Watson, James, Eldridge, Mark, Laws, Ken, George, Peter, Borrell, Andrew, Hammer, Graeme and Jordan, David (2017). Field phenotyping for photosynthetic traits in sorghum. TropAg2017, Convention and exhibition centre, Brisbane, QLD, Australia, 20-22 November 2017.
George-Jaeggli, Barbara, Potgieter, Andries, Chapman, Scott, Laws, Kenneth, Watson, James, Eldridge, Mark, van Oosterom, Erik, Geetika, Geetika, Mace, Emma, Hathorn, Adrian, Hunt, Collen, Borrell, Andrew, von Caemmerer, Susanne, Hammer, Graeme and Jordan, David (2017). High-throughput phenotyping and genotyping of variation in photosynthesis traits for increased crop yields. Chloroplast Metabolism and Photosynthesis Symposium, Neuchâtel, Switzerland, 26-28 July 2017.
Potgieter, Andries, Watson, James, Jordan, David, Hammer, Graeme, Chapman, Scott, Laws, Kenneth, McLean, Greg, Barbara George-Jaeggli, Holland, Edward and Eldridge, Mark (2016). Field phenotyping of sorghum breeding plots through proximal sensing. 5th International Controlled Environment Conference (AusPheno 2016), ANU, 18-23 September, 2016.
Watson, James, Potgieter, Andries, Holland, Edward, Jordan, David and Hammer, Graeme (2016). The design and implementation of a high-throughput data pipeline for an agricultural proximal sensing platform. eResearch 2016, Melbourne, 10-14 October, 2016.
Potgieter, A. B., Rodriguez, D., Power, B., Mclean, J. and Davis, P. (2014). Seeing is believing I: the use of thermal sensing from satellite imagery to predict crop yield. ISDE 2013: The 8th International Symposium On Digital Earth, Kuching, Sarawak, Malaysia, 26-28 August 2013. Temple Way, Bristol, United Kingdom: Institute of Physics Publishing. doi: 10.1088/1755-1315/18/1/012118
Potgieter, Andries (2013). Sorghum yield trends in NE Australia are high. ASGC 2013: Australian Summer Grains Conference, Ashmore, QLD, Australia, 17-19 June, 2013.
Potgieter, Andries, Rodriguez, Daniel, Davis, Peter and Dimes, John (2013). From information to actionable knowledge: hotspots of food insecurity in Eastern Africa. The Challenges of Index-Based Insurance for Food Security in Developing Countries: A Technical Workshop organised by JRC & IRI, Ispra Varese, Italy, 2-3 May 2012. Luxembourg, Luxembourg: Office for Official Publications of the European Union, European Commission. doi: 10.2788/713
Potgieter, Andries, Hammer, Graeme, Rodriguez, David, Doherty, Alastair, Davis, Peter, Power, Brendan and Book, Peter (2013). Forecasting the major crops for Australia and crop yield insurance: an integrated climate, biophysical and remote sensing approach. The Challenges of Index-Based Insurance for Food Security in Developing Countries: A Technical Workshop organised by JRC & IRI, Ispra Varese, Italy, 2-3 May, 2012. Luxembourg, Luxembourg: Office for Official Publications of the European Union, European Commission. doi: 10.2788/713
Stephens, David, Potgieter, Andries, Doherty, Al, Davis, Peter and Nunweek, Mike (2012). Climate change severely affects wheat yield trends across southern Australia, whereas sorghum yield trends surge. 16th Australian Agronomy Conference 2012, Armidale, NSW, Australia, 14-18 October 2012. Armidale, NSW, Australia: Australian Society of Agronomy.
Potgieter, Andries, Mallawaarachchi, Thilak and Ross, Helen (2012). Determining cropping patterns and intensities through the use of multi-temporal MODIS imagery for the Murray-Darling Basin, Queensland Australia. XXII International Society for Photogrammetry and Remote Sensing Congress, Melbourme, Australia, 25 August - 1 September 2012. Melbourne, Australia: IPRS.
Mulugetta, M., Dimes, J, Dixon, J., Potgieter, A., Prasanna, B., Rodriguez, D., Shiferaw, B. and Wall, P. (2011). The sustainable intensification of maize-legume farming systems in eastern and southern Africa (SIMLESA) program. 5th World Congress on Conservation Agriculture and Farming Systems Design, Brisbane, Australia, 26-29 September 2011. Canberra, Australia: Australian Centre for International Agricultural Research.
Doherty, Alistair, Rodriguez, Daniel, Andries Potgieter and Sadras, Victor (2008). A national benchmark for the Australian wheat industry: accounting for overlooked climate drivers. 2008 14th ASA: The 14th Australian Society of Agronomy Conference, Adelaide, SA, Australia, 21-25 September, 2008. Gosford, NSW, Australia: The Regional Institute.
Potgieter, Andries, Doherty, Alistair, Crimp, Steven, Rodriguez, Daniel, Hammer, Graeme L., Meinke, Holger and Fearweather, H. (2008). Shire scale impacts and adaptation options for Australian cereal crops affected by climate change. 2008 14th ASA: The 14th Australian Society of Agronomy Conference, Adelaide, SA, Australia, 21-25 September, 2008. Gosford, NSW, Australia: The Regional Institute.
Kokic, Philip, Nelson, Rohan, Meinke, Holger, Potgieter, Andries and Carter, John (2007). From rainfall to farm incomes - Transforming advice for Australian drought policy. I. Development and testing of a bioeconomic modelling system. International Expert Team Workshop on Impact of Climate Change/Variability and Medium- to Long-Range Predictions for Agriculture, Brisbane, Australia, 15-18 February 2005. Collingwood, Vic., Australia: CSIRO Publishing. doi: 10.1071/AR06193
Potgieter, A., Apan, A., Hammer, G. L. and Dunn, P. (2005). Spying on the winter wheat crop - generating objective planted area and crop production estimates using modis imagery. National Biennial Conference of the Spatial Sciences Institute, Melbourne, Vic, September 2005. Melbourne: Spatial Sciences Institute.
Potgieter, Andries, Meinke, Holger and Doherty, Alastair (2004). Likely impact of climate change on wheat and sorghum production in central Queensland. The 4th International Crop Science Congress, Brisbane Australia, 26 September – 1 October 2004. Madison, WI United States: Crop Science Society of America.
Hammer, G. L., Potgieter, A. and Strahan, R. (2003). The reliability of supply of feed grains in the northern region. Versatile Maize - Golden Opportunities, City Golf Club, Toowoomba, 18-20 February, 2003. Dartlington Point, NSW: Maize Association of Australia.
Meinke, H., Pollock, K., Hammer, G. L., Wang, E., Stone, R.C., Potgieter, A. and Howden, M. E. (2001). Understanding climate variability to improve agricultural decision making. Australian Agronomy Conference, Hobart, Tasmania, January, 2001. Australia: Australian Agronomy Society.
Seminar Paper
Alahmad, Samir, Kang, Yichen, Rambla, Charlotte, Van Der Meer, Sarah, Smith, Millicent, Christopher, Jack, Chenu, Karine, Able, Jason A., Voss-Fels, Kai, Jordan, David R., Borrell, Andrew K., Smith, Daniel, Chapman, Scott, Watt, Michelle, Ober, Eric, Potgieter, Andries B., Wasson, Anton, Hickey, Lee T. and Robinson, Hannah (2022). Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars. Australian Breeding Assembly, August 2022, Narrabri, NSW, Australia. Centre for Crop Science, Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane.
Research Report
Potgieter, A. B. and Hammer, Graeme L. (2006). Oz-Wheat: a regional-scale crop yield simulation model for Australian wheat. Queensland Department of Primary Industries and Fisheries Information Series Brisbane, Australia: Queensland Department of Primary Industries and Fisheries.
Data Collections
Armstrong, Robert, Potgieter, Andries, Brider, Jason and Hammer, Graeme (2023). LMA Risk maps at Shire scale. The University of Queensland. (Dataset) doi: 10.48610/1774e6f
Armstrong, Robert, Potgieter, Andries, Hammer, Graeme, Mortlock, Miranda, Biddulph, Ben, Curry, Jeremy, Height, Nathan, McCallum, Melissa, Porker, Kenton, Harris, Felicity, Bathgate, Jordan, Simpson, Jess, Clarke, Genevieve, Giblot-Ducray, Danièle, Fairlie, William, Hughes, David and Cullis, Brian (2023). Field trial raw and processed datasets for 2020 winter field season. The University of Queensland. (Dataset) doi: 10.48610/721f2e2
Armstrong, Robert, Potgieter, Andries, Hammer, Graeme, Mortlock, Miranda, Biddulph, Ben, Curry, Jeremy, Height, Nathan, McCallum, Melissa, Porker, Kenton, Harris, Felicity, Bathgate, Jordan, Simpson, Jess, Clarke, Genevieve, Giblot-Ducray, Danièle, Fairlie, William, Hughes, David and Cullis, Brian (2023). Late Maturity alpha-Amylase winter wheat data from field trials conducted at six locations in Australia. The University of Queensland. (Dataset) doi: 10.48610/6769356