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2023 Conference Publication Evaluating variation in stem strength in response to artificial drought stress amongst sorghum genotypesGeetika, 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. |
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2023 Conference Publication Physiological insight to improve mungbean productivitySmith, 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. |
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2023 Conference Publication Understanding the genetics of mungbean senescence behaviour using longitudinal UAV dataVan 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. |
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2023 Other Outputs INVITA Canopy temperature data setChapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Canopy temperature data set. The University of Queensland. (Dataset) doi: 10.48610/ef6a465 |
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2023 Other Outputs INVITA Satellite data setChapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Satellite data set. The University of Queensland. (Dataset) doi: 10.48610/1c8d86a |
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2023 Other Outputs INVITA Core site Ground-Based HTP platform DataChapman, Scott and Smith, Daniel (2023). INVITA Core site Ground-Based HTP platform Data. The University of Queensland. (Dataset) doi: 10.48610/346651e |
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2023 Other Outputs INVITA Plot photo data setChapman, Scott, Gho Brito, Carla and Fernandez, Javier (2023). INVITA Plot photo data set. The University of Queensland. (Dataset) doi: 10.48610/f5e1414 |
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2023 Other Outputs Sorghum Panicle Detection Ground-UAV DatasetChapman, Scott and James, Chris (2023). Sorghum Panicle Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/9c3dd16 |
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2023 Other Outputs INVITA UAV data setChapman, Scott and Gho Brito, Carla (2023). INVITA UAV data set. The University of Queensland. (Dataset) doi: 10.48610/7b400d9 |
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2023 Journal Article From prototype to inference: a pipeline to apply deep learning in sorghum panicle detectionJames, 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 |
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2023 Other Outputs INVITA Core site UAV datasetChapman, Scott and Smith, Daniel (2023). INVITA Core site UAV dataset. The University of Queensland. (Dataset) doi: 10.48610/951f13c |
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2023 Other Outputs Wheat Head Detection Ground-UAV DatasetChapman, Scott and James, Chris (2023). Wheat Head Detection Ground-UAV Dataset. The University of Queensland. (Dataset) doi: 10.48610/f6a6b07 |
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2022 Conference Publication Improve wheat LAI estimation from high spatial resolution multispectral images via soil reflectance calibration and background correctionChen, Q., Zheng, B., Chenu, K., Hu, P. and Chapman, S. C. (2022). Improve wheat LAI estimation from high spatial resolution multispectral images via soil reflectance calibration and background correction. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 November 2022. |
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2022 Conference Publication Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systemsKang, Y., Alahmad, S., Smith, D., van Haeften, S., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu K, Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Chapman, S., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring the potential of using UAV phenotyping platforms to support breeding for improved root systems. 7th International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 November 2022. |
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2022 Conference Publication Phenotyping innovations to develop climate resilient taroSmith, Millicent, Campbell, Bradley, Restall, Jemma, Chapman, Scott, Godwin, Ian, Sukal, Amit and Guzzon, Filippo (2022). Phenotyping innovations to develop climate resilient taro. TropAg International Agriculture Conference, Brisbane, QLD, Australia, 31 October - 2 November 2022. |
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2022 Conference Publication Understanding the genetics of mungbean canopy development using longitudinal UAV dataVan 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. |
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2022 Conference Publication Phenotyping innovations to harness genetic diversity for climate resilienceSmith, 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. |
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2022 Conference Publication Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learningChen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott (2022). Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learning. 20th Agronomy Australia Conference, Toowoomba, QLD, Australia, 18-22 September 2022. Willow Grove, VIC Australia: Australian Society of Agronomy. |
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2022 Conference Publication Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trialsRamakers, Jip, Bustos-Korts, Daniela, Hemerik, Jesse, Boer, Martin, Grunefeld, Swaantje, Hu, Pengcheng, Arief, Vivi, van Eeuwijk, Fred and Chapman, Scott (2022). Analysis of longitudinal, image-based canopy cover estimates as a quality indicator in wheat variety trials. XVIIIth Eucarpia Biometrics in Plant Breeding Conference, Gif-sur-Yvette, France, 21-23 September 2022. |
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2022 Conference Publication Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivarsAlahmad, S., Kang, Y., Rambla, C., Meer, S.V., Smith, M., Christopher, J., Chenu, K., Able, J.A., Voss-Fels, K.P., Jordan, D.R., Borrell, A.K., Smith, D., Chapman, S., Watt, M., Ober, E., Potgieter, A.B., Wasson, A. and Hickey, L.T. (2022). Exploring root-shoot dynamics to enhance yield potential and stability of future wheat cultivars. Wheat Breeding Assembly, Narrabri, NSW Australia, 28-31 August 2022. |
