Dr Andries Potgieter is a Senior Research Fellow at the Queensland Alliance for Agriculture and Food Innovation (QAAFI) at the University of Queensland. He currently leads and mentor a team of researchers in the areas of seasonal climate forecasting, remote and proximal sensing with applications in the development of crop production outlooks and less risk prone cropping systems across Australia, producing highly cited publications.
With over 25 years of experience, Dr Potgieter’s main research interest is in the complex integration of remote sensing technologies, spatial production modelling, climate forecasting systems at a regional scale. In particular, his interest targets agricultural research that enhances the profitability and sustainability of spatial production systems through a better understanding of the linkages and interactions of such systems across a range of spatial (e.g. field, farm, catchment, national), and temporal (i.e. seasons to decades) scales. He is a leader in the field of quantitative eco-physiological systems modelling and has successfully built up a national and international recognised research profile with strong linkages to industry (farmer groups, insurance, seed companies and bulk handlers of commodities) and domestic and national agencies (State governments, ABARES and ABS) as well as international linkages with Ag-Food Canada, Maryland University, USDA, Chinese Academy of Science (CAS), the Chinese Academy of Agricultural Sciences (CAAS) including the UN and FAO.
Recent research projects
Other research
Journal Article: 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: 1714-1727. doi:10.1111/nph.15817
Journal Article: 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
Journal Article: 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. doi:10.34133/2019/1525874
(2015–2019) Grains Research & Development Corporation
(2014–2019) International Maize and Wheat Improvement Centre
Seeing is believing: The use of thermal sensing in predicting crop yield at field scale
(2013) UQ Early Career Researcher
Predicting Photosynthetic Capacity from Hyperspectral Data in Sorghum
Doctor Philosophy
Proximal and remote sensing as tools to assist data collection in extensive maize and sorghum agronomic trials
Master Philosophy
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. In Prasad S. Thenkabail, John G. Lyon and Alfredo Huete (Ed.), Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation (pp. 127-148) Boca Raton FL, United States: CRC Press Taylor and Francis Group.
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. In Prasad S. Thenkabail, John G. Lyon and Alfredo Huete (Ed.), Biophysical and biochemical characterization and plant species studies (pp. 275-299) 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. In Sadras, Victor O and Calderini, Daniel F (Ed.), Crop Physiology Applications for Genetic Improvement and Agronomy 2nd ed. (pp. 93-110) United States of America: Elsevier : Academic Press. doi:10.1016/B978-0-12-417104-6.00005-4
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: 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
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. 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: . 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 . 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 . 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
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: 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. 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
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.
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: .
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
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
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
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. In: Australian Summer Grains Conference, Gold Coast, QLD, Australia, (). 8-10 July 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. In: Innovations in Agriculture for Food Security, Brisbane, QLD Australia, (). 30 June - 3 July 2019.
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. In: 5th International Plant Phenotyping Symposium, Adelaide, Australia, (). 2-5 October 2018.
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. In: Combio, Sydney, Australia, (). 23-26 September 2018.
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. In: 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, (8244-8247). Jul 22-27, 2018. 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. In: Sorghum in the 21st Century, Cape Town, South Africa, (). 9-12 April 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. In: 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. In: 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. In: 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. In: 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. In: 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. In: Proceedings of the 8th International Symposium of Digital Earth (8th ISDE) 2013. ISDE 2013: The 8th International Symposium On Digital Earth, Kuching, Sarawak, Malaysia, (012118.1-012118.8). 26-28 August 2013. doi:10.1088/1755-1315/18/1/012118
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. In: René Gommes and François Kayitakire, The Challenges of Index-Based Insurance for Food Security in Developing Countries: Proceedings of a technical workshop organised by the EC Joint Research Centre (JRC) and the International Research Institute for Climate and Society (IRI, Earth Institute, Columbia University). The Challenges of Index-Based Insurance for Food Security in Developing Countries: A Technical Workshop organised by JRC & IRI, Ispra Varese, Italy, (101-110). 2-3 May, 2012. 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. In: René Gommes and François Kayitakire, The Challenges of Index-Based Insurance for Food Security in Developing Countries: Proceedings of a technical workshop organised by the EC Joint Research Centre (JRC) and the International Research Institute for Climate and Society (IRI, Earth Institute, Columbia University). The Challenges of Index-Based Insurance for Food Security in Developing Countries: A Technical Workshop organised by JRC & IRI, Ispra Varese, Italy, (120-127). 2-3 May 2012. doi:10.2788/713
Sorghum yield trends in NE Australia are high
Potgieter, Andries (2013). Sorghum yield trends in NE Australia are high. In: ASGC 2013: Australian Summer Grains Conference, Ashmore, QLD, Australia, (). 17-19 June, 2013.
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. In: Capturing Opportunities and Overcoming Obstacles in Australian Agronomy: Proceedings of 16th Agronomy Conference 2012. 16th Australian Agronomy Conference 2012, Armidale, NSW, Australia, (). 14-18 October 2012.
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. In: IPRS 2012 abstracts. XXII International Society for Photogrammetry and Remote Sensing Congress, Melbourme, Australia, (). 25 August - 1 September 2012.
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. In: World Congress on Conservation Agriculture 2011 Papers. 5th World Congress on Conservation Agriculture and Farming Systems Design, Brisbane, Australia, (1-5). 26-29 September 2011.
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. In: Murray Unkovich, Global Issues, Paddock Action: Proceedings of the 14th Agronomy Conference 2008. 2008 14th ASA: The 14th Australian Society of Agronomy Conference, Adelaide, SA, Australia, (). 21-25 September, 2008.
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. In: Murray Unkovich, Global Issues, Paddock Action: Proceedings of the 14th Agronomy Conference 2008. 2008 14th ASA: The 14th Australian Society of Agronomy Conference, Adelaide, SA, Australia, (). 21-25 September, 2008.
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. In: International Expert Team Workshop on Impact of Climate Change/Variability and Medium- to Long-Range Predictions for Agriculture, Brisbane, Australia, (993-1003). 15-18 February 2005. 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. In: Proceedings of SSC 2005 Spatial Intelligence, Innovation and Praxis: The national Biennial Conference of the Spatial Sciences Institute. National Biennial Conference of the Spatial Sciences Institute, Melbourne, Vic, (1-5). September 2005.
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. In: New directions for a diverse planet: Proceedings for the 4th International Crop Science Congress. The 4th International Crop Science Congress, Brisbane Australia, (). 26 September – 1 October 2004.
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. In: C.J. Birch and S.R. Wilson, Fifth Australian Maize Conference Proceedings. Versatile Maize - Golden Opportunities, City Golf Club, Toowoomba, (120-126). 18-20 February, 2003.
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. In: Australian Agronomy Conference. Australian Agronomy Conference, Hobart, Tasmania, (). January, 2001.
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 Brisbane, Australia: Queensland Department of Primary Industries and Fisheries
(2015–2019) Grains Research & Development Corporation
(2014–2019) International Maize and Wheat Improvement Centre
Seeing is believing: The use of thermal sensing in predicting crop yield at field scale
(2013) UQ Early Career Researcher
(2012–2015) International Livestock Research Institute
(2012–2014) International Maize and Wheat Improvement Centre
An analysis of spatial data for Zimbabwe (ACIAR project)
(2011) Queensland Department of Employment, Economic Development and Innovation
(2010–2014) International Maize and Wheat Improvement Centre
Strategic Planning for investment based on agro-ecological zones
(2010) Queensland Department of Employment, Economic Development and Innovation
Predicting Photosynthetic Capacity from Hyperspectral Data in Sorghum
Doctor Philosophy — Associate Advisor
Other advisors:
Proximal and remote sensing as tools to assist data collection in extensive maize and sorghum agronomic trials
Master Philosophy — Associate Advisor
Other advisors: