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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 Journal Article CCAT-prime collaboration: science goals and forecasts with Prime-Cam on the Fred Young Submillimeter TelescopeAravena, Manuel E., Austermann, Jason E., Basu, Kaustuv, Battaglia, Nicholas, Beringue, Benjamin, Bertoldi, Frank, Bigiel, Frank C., Bond, J. Richard, Breysse, Patrick C., Broughton, Colton C., Bustos, Ricardo, Chapman, Scott C. K., Charmetant, Maude T., Choi, Steve K. E., Chung, Dongwoo T. F., Clark, Susan E. T., Cothard, Nicholas F., Crites, Abigail T., Dev, Ankur J., Douglas, Kaela, Duell, Cody J., Duenner, Rolando, Ebina, Haruki, Erler, Jens M., Fich, Michel, Fissel, Laura M., Foreman, Simon A., Freundt, R. G., Gallardo, Patricio A. ... Zou, Bugao (2023). CCAT-prime collaboration: science goals and forecasts with Prime-Cam on the Fred Young Submillimeter Telescope. Astrophysical Journal Supplement Series, 264 (1) 7, 1-39. doi: 10.3847/1538-4365/ac9838 |
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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 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 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 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 Journal Article Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learningChen, Qiaomin, Zheng, Bangyou, Chenu, Karine, Hu, Pengcheng and Chapman, Scott C. (2022). Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning. Plant Phenomics, 2022 9768253, 1-19. doi: 10.34133/2022/9768253 |
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2022 Journal Article Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learningChen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott C. (2022). Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Journal of Experimental Botany, 73 (19), 6558-6574. doi: 10.1093/jxb/erac291 |
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2022 Journal Article Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environmentsHu, Pengcheng, Chapman, Scott C., Sukumaran, Sivakumar, Reynolds, Matthew and Zheng, Bangyou (2022). Phenological optimization of late reproductive phase for raising wheat yield potential in irrigated mega-environments. Journal of Experimental Botany, 73 (12), 4236-4249. doi: 10.1093/jxb/erac144 |
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2022 Conference Publication Integration of data across scales to predict genotype performance in National Variety TrialsChapman, Scott, Noviati, Vivi, Hu, Pengcheng, McLaren, Connar, Smith, Daniel, Choudhury, Malini, Chen, Zhi, Grunfeld, Swaantje, Zheng, Bangyou, van Eeuwijk, Fred, Bustos-Korts, Daniela, Boer, Martin, Hemerik, Jesse and Ramakers, Jip (2022). Integration of data across scales to predict genotype performance in National Variety Trials. Australasian Plant Breeding Conference, Gold Coast, QLD Australia, 9-11 May 2022. |
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2022 Journal Article Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniquesDas, Sumanta, Christopher, Jack, Roy Choudhury, Malini, Apan, Armando, Chapman, Scott, Menzies, Neal W. and Dang, Yash P. (2022). Evaluation of drought tolerance of wheat genotypes in rain-fed sodic soil environments using high-resolution UAV remote sensing techniques. Biosystems Engineering, 217, 68-82. doi: 10.1016/j.biosystemseng.2022.03.004 |
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2022 Journal Article A wiring diagram to integrate physiological traits of wheat yield potentialReynolds, Matthew Paul, Slafer, Gustavo Ariel, Foulkes, John Michael, Griffiths, Simon, Murchie, Erik Harry, Carmo-Silva, Elizabete, Asseng, Senthold, Chapman, Scott C., Sawkins, Mark, Gwyn, Jeff and Flavell, Richard Bailey (2022). A wiring diagram to integrate physiological traits of wheat yield potential. Nature Food, 3 (5), 318-324. doi: 10.1038/s43016-022-00512-z |
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2022 Journal Article Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghumZhi, 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 |
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2022 Journal Article Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parametersRoy Choudhury, Malini, Christopher, Jack, Das, Sumanta, Apan, Armando, Menzies, Neal W., Chapman, Scott, Mellor, Vincent and Dang, Yash P. (2022). Detection of calcium, magnesium, and chlorophyll variations of wheat genotypes on sodic soils using hyperspectral red edge parameters. Environmental Technology & Innovation, 27 102469, 102469. doi: 10.1016/j.eti.2022.102469 |
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2022 Journal Article Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environmentsOjeda, Jonathan J., Hammer, Graeme, Yang, Kai‐Wei, Tuinstra, Mitchell R., deVoil, Peter, McLean, Greg, Huber, Isaiah, Volenec, Jeffrey J., Brouder, Sylvie M., Archontoulis, Sotirios and Chapman, Scott C. (2022). Quantifying the effects of varietal types × management on the spatial variability of sorghum biomass across US environments. GCB Bioenergy, 14 (3), 411-433. doi: 10.1111/gcbb.12919 |
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2022 Conference Publication A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fieldsDas, 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 |
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2022 Conference Publication Crop type prediction utilising a long short-term memory with a self-attention for winter crops in AustraliaNguyen, 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 |
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2021 Journal Article Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environmentsHu, Pengcheng, Chapman, Scott C., Dreisigacker, Susanne, Sukumaran, Sivakumar, Reynolds, Matthew and Zheng, Bangyou (2021). Using a gene-based phenology model to identify optimal flowering periods of spring wheat in irrigated mega-environments. Journal of Experimental Botany, 72 (20), 7203-7218. doi: 10.1093/jxb/erab326 |
