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2020 Book Chapter Sorghum management systems and production technology around the globeCiampitti, 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 |
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2019 Journal Article An integrated framework for predicting the risk of experiencing temperature conditions that may trigger late-maturity alpha-amylase in wheat across AustraliaArmstrong, 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 |
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2019 Journal Article Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal cropsFurbank, 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 |
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2019 Journal Article Integrating satellite and climate data to predict wheat yield in Australia using machine learning approachesCai, 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 |
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2019 Journal Article A weakly supervised deep learning framework for sorghum head detection and countingGhosal, 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 |
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2019 Journal Article Editorial: Building and delivering real-world, integrated sustainability solutions: Insights, methods and case-study applicationsNewlands, 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 |
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2019 Conference Publication High-throughput phenotyping of canopy radiation use efficiency and its component traitsGeorge-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. |
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2019 Conference Publication Determining of targeted crop characteristics utilising sensing technologies to enhance selection of higher yielding varieties in sorghum breeding trialsPotgieter, 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. |
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2019 Book Chapter The use of hyperspectral proximal sensing for phenotyping of plant breeding trialsPotgieter, 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 |
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2019 Conference Publication High-throughput phenotyping tools to test whether leaf-level photosynthesis traits are measurable at the crop levelGeorge-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. |
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2019 Conference Publication Seeing canopy photosynthesis through the eyes of a GeckoGeorge-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. |
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2019 Conference Publication Predicting lodging using sensing technologies to enhance selection in sorghum breeding trialsPotgieter, 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. |
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2018 Journal Article Aerial imagery analysis – quantifying appearance and number of sorghum heads for applications in breeding and agronomyGuo, 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 |
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2018 Journal Article Estimation of plant height using a high throughput phenotyping platform based on unmanned aerial vehicle and self-calibration: Example for sorghum breedingHu, 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 |
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2018 Conference Publication Determining crop growth dynamics in sorghum breeding trials through remote and proximal sensing technologiesPotgieter, 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 |
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2018 Conference Publication An integrated sensing approach to map the genetic loci associated with canopy radiation use efficiency in sorghumGeorge-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. |
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2018 Conference Publication Field phenotyping of sorghum breeding trials through proximal sensing technologiesPotgieter, 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. |
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2018 Conference Publication Trial results - Tactical agronomy for sorghum and maize and agronomy for high yielding sorghum and wheat in the northern regionGeorge-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. |
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2018 Conference Publication An integrated sensing platform to map the genetic loci associated with canopy radiation use efficiency in sorghumGeorge-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. |
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2018 Book Chapter Visible, near infrared, and thermal spectral radiance on-board UAVs for high-throughput phenotyping of plant breeding trialsChapman, 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 |
