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2025

Conference Publication

Cost-effective agronomic practices could unlock Australian wheat yield potential

Li, Siyi, Zheng, Bangyou, Hu, Pengcheng, Fernandez, Javier, Lei, Yeming, James, Chris, Chen, Qiaomin, Arief, Vivi and Chapman, Scott (2025). Cost-effective agronomic practices could unlock Australian wheat yield potential. The 26th International Congress on Modelling and Simulation (MODSIM2025), Adelaide, SA, Australia, 30 November-4 December 2025.

Cost-effective agronomic practices could unlock Australian wheat yield potential

2025

Journal Article

Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean

Van Haeften, Shanice, Smith, Daniel, Robinson, Hannah, Dudley, Caitlin, Kang, Yichen, Douglas, Colin A., Hickey, Lee T., Potgieter, Andries, Chapman, Scott and Smith, Millicent R. (2025). Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean. The Plant Phenome Journal, 8 (1) e70016, 1-18. doi: 10.1002/ppj2.70016

Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbean

2025

Journal Article

Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field

Alahmad, Samir, Smith, Daniel, Katsikis, Christina, Aldiss, Zachary, Brunner, Stephanie M., Meer, Sarah V., Meijer, Lotus, Heidariask, Bita, Chenu, Karine, Chapman, Scott, Potgieter, Andries B., Wasson, Anton, Baraibar, Silvina, Godoy, Jayfred, Moody, David, Robinson, Hannah and Hickey, Lee T. (2025). Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field. Journal of Experimental Botany, 76 (17) eraf268, 5161-5178. doi: 10.1093/jxb/eraf268

Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the field

2025

Journal Article

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

Wang, Zijian, Zenkl, Radek, Greche, Latifa, De Solan, Benoit, Samatan, Lucas Bernigaud, Ouahid, Safaa, Visioni, Andrea, Robles-Zazueta, Carlos A., Pinto, Francisco, Perez-Olivera, Ivan, Reynolds, Matthew P., Zhu, Chen, Liu, Shouyang, D’argaignon, Marie-Pia, Lopez-Lozano, Raul, Weiss, Marie, Marzougui, Afef, Roth, Lukas, Dandrifosse, Sébastien, Carlier, Alexis, Dumont, Benjamin, Mercatoris, Benoît, Fernandez, Javier, Chapman, Scott, Najafian, Keyhan, Stavness, Ian, Wang, Haozhou, Guo, Wei, Virlet, Nicolas ... Hund, Andreas (2025). The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset. Plant Phenomics, 7 (3) 100084, 1-16. doi: 10.1016/j.plaphe.2025.100084

The Global Wheat Full Semantic Organ Segmentation (GWFSS) dataset

2025

Journal Article

Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agriculture

Zhao, Yan, Jiang, Ruizhu, Brider, Jason, Chapman, Scott and Potgieter, Andries (2025). Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agriculture. In Silico Plants, 7 (2) diaf013. doi: 10.1093/insilicoplants/diaf013

Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agriculture

2025

Conference Publication

Quantifying Cotton Growth Rate from Multispectral UAV Imagery at Plot Scale

Devoto, Francesca, Ashourloo, Davoud, Zhao, Yan, Jiang, Ruizhu, Awale, Rakesh, Bell, Michael, McLaren, Tim, Reynolds-Massey-Reed, Sean, Otto, Loren, Bange, Michael, Woodgate, William, Chapman, Scott and Potgieter, Andries (2025). Quantifying Cotton Growth Rate from Multispectral UAV Imagery at Plot Scale. IEEE. doi: 10.1109/igarss55030.2025.11243794

Quantifying Cotton Growth Rate from Multispectral UAV Imagery at Plot Scale

2025

Conference Publication

Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles

James, Chrisbin, Chapman, Scott C and Chandra, Shekhar S (2025). Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles. IEEE. doi: 10.1109/igarss55030.2025.11242439

Evaluating Neural Kernel Surface Reconstruction for Extracting Mesh Geometry from Pointclouds for Volumetric Analysis of Sorghum Panicles

2025

Journal Article

Comprehensive Assessment of PeriodiCT Model for Canopy Temperature Forecasting

Shao, Quanxi, Roche, Rose, Jamali, Hiz, Nunn, Chris, Zheng, Bangyou, Jin, Huidong, Chapman, Scott C. and Bange, Michael (2025). Comprehensive Assessment of PeriodiCT Model for Canopy Temperature Forecasting. Agronomy, 15 (7), 1665-7. doi: 10.3390/agronomy15071665

Comprehensive Assessment of PeriodiCT Model for Canopy Temperature Forecasting

2025

Conference Publication

A screening method to assess lodging resistance in a diverse set of sorghum germplasm

Geetika, Geetika, Borrell, Andrew, Thornton, Erin, Hunt, Colleen, Chapman, Scott, Potgieter, Andries, Hammer, Graeme, Mace, Emma and Jordan, David (2025). A screening method to assess lodging resistance in a diverse set of sorghum germplasm. Australian Summer Grains Conference, Gold Coast, QLD, Australia, 7-9 July 2025.

A screening method to assess lodging resistance in a diverse set of sorghum germplasm

2025

Journal Article

A Bayesian framework for crop model calibration: A case study in the US Corn Belt

Ziliani, Matteo G., Altaf, Muhammad U., Franz, Trenton E., Zheng, Bangyou, Chapman, Scott, Sheffield, Justin, Hoteit, Ibrahim and McCabe, Matthew F. (2025). A Bayesian framework for crop model calibration: A case study in the US Corn Belt. European Journal of Agronomy, 168 127650, 1-21. doi: 10.1016/j.eja.2025.127650

A Bayesian framework for crop model calibration: A case study in the US Corn Belt

2025

Journal Article

A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds

James, Chrisbin, Chandra, Shekhar S. and Chapman, Scott C. (2025). A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds. Plant Phenomics, 7 (2) 100050, 1-19. doi: 10.1016/j.plaphe.2025.100050

A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point clouds

2025

Journal Article

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

Garba, Ismail I., Fernandez, Javier A., Chen, Qiaomin, Gho, Carla, deVoil, Peter, Cooper, Mark and Chapman, Scott C. (2025). Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems. Field Crops Research, 326 109858, 109858. doi: 10.1016/j.fcr.2025.109858

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

2025

Journal Article

From soil health to agricultural productivity: The critical role of soil constraint management

Li, Tong, Cui, Lizhen, Filipović, Vilim, Tang, Caixian, Lai, Yunru, Wehr, Bernhard, Song, Xiufang, Chapman, Scott, Liu, Hongdou, Dalal, Ram C. and Dang, Yash P. (2025). From soil health to agricultural productivity: The critical role of soil constraint management. Catena, 250 108776, 1-15. doi: 10.1016/j.catena.2025.108776

From soil health to agricultural productivity: The critical role of soil constraint management

2025

Journal Article

Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

Nguyen, Dung, de Voil, Peter, Potgieter, Andries, Dang, Yash P., Orton, Thomas G., Nguyen, Duc Thanh, Nguyen, Thanh Thi and Chapman, Scott C. (2025). Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data. Agricultural Water Management, 307 109124, 1-12. doi: 10.1016/j.agwat.2024.109124

Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological data

2025

Other Outputs

2024 Scott Teaching Trial

Gho Brito, Carla, Chapman, Scott, Smith, Daniel, Chen, Xiaolong, James, Chris, MUGAMBA, Edward, Oya, Riku and Cave, Lleyton (2025). 2024 Scott Teaching Trial. The University of Queensland. (Dataset) doi: 10.48610/808c370

2024 Scott Teaching Trial

2024

Journal Article

Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location

Smith, Daniel T. L., Chen, Qiaomin, Massey-Reed, Sean Reynolds, Potgieter, Andries B. and Chapman, Scott C. (2024). Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location. Plant Methods, 20 (1) 129, 129. doi: 10.1186/s13007-024-01236-w

Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location

2024

Conference Publication

Multivariate characterisation of envirotypes for wheat G×E in Australian Variety Trials

Fernandez, Javier A., Hu, Pengcheng, Arief, Vivi, Gho, Carla, Ramakers, Jip, Hemerik, Jesse, Boer, Martin, van Eeuwijk, Fred and Chapman, Scott (2024). Multivariate characterisation of envirotypes for wheat G×E in Australian Variety Trials. GxExM Symposium III, Wageningen, Netherlands, 30-31 October 2024.

Multivariate characterisation of envirotypes for wheat G×E in Australian Variety Trials

2024

Conference Publication

Assessing crop water use in wheat and sorghum National Variety Trials in Australia

Fernandez, J. A., Gho, C., Smith, D., Zheng, B. and Chapman, S.C. (2024). Assessing crop water use in wheat and sorghum National Variety Trials in Australia. 21st Australian Society of Agronomy Conference, Albany, WA, Australia, 21-24 October 2024. Australian Society of Agronomy.

Assessing crop water use in wheat and sorghum National Variety Trials in Australia

2024

Conference Publication

Dissecting the genetics of canopy dynamics in mungbean using longitudinal modelling of UAV-derived traits

Van Haeften, Shanice, Kang, Yichen, Smith, Daniel, Robinson, Hannah, Chapman, Scott, Potgieter, Andries, Hickey, Lee and Smith, Millicent (2024). Dissecting the genetics of canopy dynamics in mungbean using longitudinal modelling of UAV-derived traits. 11th International Conference on Legume Genetics and Genomics (ICLGG) 2024, Brisbane, QLD, Australia, 30 September - 3 October 2024.

Dissecting the genetics of canopy dynamics in mungbean using longitudinal modelling of UAV-derived traits

2024

Conference Publication

Environment characterisation of wheat national variety trials in Australia

Fernandez, Javier A., Arief, Vivi, Hu, Pengcheng, Zheng, Bangyou, Gho, Carla, Ramakers, Jip, Boer, Martin, van Eeuwijk, Fred and Chapman, Scott (2024). Environment characterisation of wheat national variety trials in Australia. 3rd International Wheat Congress, Perth, WA, Australia, 22-27 September 2024.

Environment characterisation of wheat national variety trials in Australia