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2018

Journal Article

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

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

2018

Journal Article

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

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

2017

Journal Article

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

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

2016

Journal Article

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

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

2015

Journal Article

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

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

2015

Journal Article

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

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

2014

Journal Article

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

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

2013

Journal Article

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

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

2013

Journal Article

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

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

2011

Journal Article

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

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

2010

Journal Article

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

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

2010

Journal Article

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

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

2008

Journal Article

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.

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

2007

Journal Article

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).

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

2007

Journal Article

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

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

2005

Journal Article

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

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

2005

Journal Article

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

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

2005

Journal Article

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

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

2004

Journal Article

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

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

2003

Journal Article

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

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