The University of Queensland

Modelling the impact of climate change on agriculture in Australia and Oceania

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

Sorghum management systems and production technology around the globe

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

The use of hyperspectral proximal sensing for phenotyping of plant breeding trials

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, USA: CRC Press. doi: 10.1201/9781315164151-5

Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trials

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

Raising productivity of maize-based cropping systems in eastern and southern Africa: Step-wise intensification options

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

Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia

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

Fusarium wilt constrains mungbean yield due to reduction in source availability

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. doi: 10.1093/aobpla/plae021

Featured cover

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

Building a better Mungbean: breeding for reproductive resilience in a changing climate

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

Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland

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

A cross‐scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments

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

From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection

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

Challenges and opportunities in remote sensing-based crop monitoring: a review

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

Cover Image

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

Lead time and skill of Australian wheat yield forecasts based on ENSO-analogue or GCM-derived seasonal climate forecasts – A comparative analysis

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

Genetic basis of sorghum leaf width and its potential as a surrogate for transpiration efficiency

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

Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum

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

Genetic control of leaf angle in sorghum and its effect on light interception

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

Detecting sorghum plant and head features from multispectral UAV imagery

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

Scaling up high-throughput phenotyping for abiotic stress selection in the field

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

Evolution and application of digital technologies to predict crop type and crop phenology in agriculture

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

High-throughput phenotyping of dynamic canopy traits associated with stay-green in grain sorghum

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

Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling

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

An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across Australia

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

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

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

Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

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

A weakly supervised deep learning framework for sorghum head detection and counting

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

Editorial: Building and delivering real-world, integrated sustainability solutions: Insights, methods and case-study applications

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

Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomy

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

Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breeding

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

Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines

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

Yield trends under varying environmental conditions for sorghum and wheat across Australia

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

Exploring the potential impacts of climate variability on spring wheat yield with the APSIM decision support tool

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

An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty

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

Spatial estimation of wheat yields from Landsat's visible, near infrared and thermal reflectance bands

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

Determining crop acreage estimates for specific winter crops using shape attributes from sequential MODIS imagery

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

Spatial impact of projected changes in rainfall and temperature on wheat yields in Australia

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

Estimating winter crop area across seasons and regions using time-sequential MODIS imagery

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

Early-season crop area estimates for winter crops in NE Australia using MODIS satellite imagery

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

Quantification of wheat water-use efficiency at the shire-level in Australia

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

Drought risk and vulnerability in rainfed agriculture: Example of a case study from Australia., Drought management: scientific and technological innovations

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.

Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images

Fontana, Denise Cybis, Potgieter, Andries B. and Apan, Armando (2007). Assessing the relationship between shire winter crop yield and seasonal variability of the MODIS NDVI and EVI images. Applied GIS, 3 (7)

Estimating crop area using seasonal time series of Enhanced Vegetation Index from MODIS satellite imagery

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

A simple regional-scale model for forecasting sorghum yield across North-Eastern Australia

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

Rainfall variability at decadal and longer time scales: signal or noise?

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

Three putative types of El Nino revealed by spatial variability in impact on Australian wheat yield

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

Using a general circulation model to forecast regional wheat yields in northeast Australia

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

On measuring quality of a probabilistic commodity forecast for a system that incorporates seasonal climate forecasts

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

Spatial and temporal patterns in Australian wheat yield and their relationship with ENSO

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

Advances in application of climate prediction in agriculture

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

Framework for forecasting the extent and severity of drought in maize in the Free State Province of South Africa

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

A technique to evaluate ENSO-based maize production strategies

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

Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning

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

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

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.

Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypes

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.

Physiological insight to improve mungbean productivity

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.

Understanding the genetics of mungbean senescence behaviour using longitudinal UAV data

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.

Physiological insight to improve mungbean productivity

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.

Phenotyping innovations to harness genetic diversity for climate resilience

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.

Understanding the genetics of mungbean canopy development using longitudinal UAV data

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.

New technologies to accelerate mungbean improvement

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.

UAV-based technologies to reveal the secrets of mungbean yield

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.

Frequency analysis of environment types associated with late-maturity alpha-amylase for Australian wheat under current and future climates

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.

A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields

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

Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia

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

Improving mungbean productivity

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.

Exploring variation in key traits to improve mungbean productivity

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.

Domain adaptation for plant organ detection with style transfer

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

Quantifying drought tolerant crop traits using sensing technologies to enhance selection in sorghum breeding trials

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.

Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trials

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.

High-throughput phenotyping of canopy radiation use efficiency and its component traits

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.

High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop level

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.

Predicting lodging using sensing technologies to enhance selection in sorghum breeding trials

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.

Seeing canopy photosynthesis through the eyes of a Gecko

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.

An integrated sensing approach to map the genetic loci associated with canopy radiation use efficiency in sorghum

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.

An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghum

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.

Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologies

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

Field phenotyping of sorghum breeding trials through proximal sensing technologies

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.

Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern region

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.

Field phenotyping for photosynthetic traits in sorghum

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.

High-throughput phenotyping and genotyping of variation in photosynthesis traits for increased crop yields

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.

Field phenotyping of sorghum breeding plots through proximal sensing

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.

The design and implementation of a high-throughput data pipeline for an agricultural proximal sensing platform

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.

Seeing is believing I: the use of thermal sensing from satellite imagery to predict crop yield

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

Forecasting the major crops for Australia and crop yield insurance: an integrated climate, biophysical and remote sensing approach

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

From information to actionable knowledge: hotspots of food insecurity in Eastern Africa

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

Sorghum yield trends in NE Australia are high

Potgieter, Andries (2013). Sorghum yield trends in NE Australia are high. ASGC 2013: Australian Summer Grains Conference, Ashmore, QLD, Australia, 17-19 June, 2013.

Climate change severely affects wheat yield trends across southern Australia, whereas sorghum yield trends surge

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.

Determining cropping patterns and intensities through the use of multi-temporal MODIS imagery for the Murray-Darling Basin, Queensland Australia

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.

The sustainable intensification of maize-legume farming systems in eastern and southern Africa (SIMLESA) program

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.

A national benchmark for the Australian wheat industry: accounting for overlooked climate drivers

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.

Shire scale impacts and adaptation options for Australian cereal crops affected by climate change

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.

From rainfall to farm incomes - Transforming advice for Australian drought policy. I. Development and testing of a bioeconomic modelling system

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

Spying on the winter wheat crop - generating objective planted area and crop production estimates using modis imagery

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.

Likely impact of climate change on wheat and sorghum production in central Queensland

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.

The reliability of supply of feed grains in the northern region

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.

Understanding climate variability to improve agricultural decision making

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.

Field trial raw and processed datasets for 2020 winter field season

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

LMA Risk maps at Shire scale

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

Late Maturity alpha-Amylase winter wheat data from field trials conducted at six locations in Australia

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

Oz-Wheat: a regional-scale crop yield simulation model for Australian wheat

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.