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2026 Journal Article StomataSeg: Semi-supervised instance segmentation for sorghum stomatal componentsHuang, Zhongtian, Chen, Zhi, Huang, Zi, Yu, Xin, Smith, Daniel, Purushothama, Chaitanya, Van Oosterom, Erik, Wu, Alex, Salter, William, Li, Yan and Chapman, Scott (2026). StomataSeg: Semi-supervised instance segmentation for sorghum stomatal components. Computers and Electronics in Agriculture 112442, 112442-112442. doi: 10.1016/j.compag.2026.112442 |
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2026 Journal Article A novel physics-based empirical line approach for reflectance calibration of UAV multispectral imageryAshourloo, Davoud, Smith, Daniel, Cave, Lleyton, James, Chris, Chen, Xiaolong, Marcano, Sebastian Lopez, Oya, Riku, Gho Brito, Carla, Potgieter, Andries and Chapman, Scott (2026). A novel physics-based empirical line approach for reflectance calibration of UAV multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 64, 1-16. doi: 10.1109/tgrs.2026.3737691 |
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2026 Journal Article Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observationsChen, Qiaomin, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel T. L., Fernandez, Javier, Garba, Ismail I. and Chapman, Scott C. (2026). Synthesizing crop modelling and deep learning for remote estimation of wheat biomass dynamics from multispectral and weather observations. Artificial Intelligence in Agriculture. doi: 10.1016/j.aiia.2026.06.007 |
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2026 Journal Article Sensor-based estimation of evapotranspiration and water use efficiency in Australian wheat variety trialsFernandez, Javier A., Gho, Carla, Smith, Daniel T., Hu, Pengcheng, Zheng, Bangyou and Chapman, Scott C. (2026). Sensor-based estimation of evapotranspiration and water use efficiency in Australian wheat variety trials. in silico Plants, 8 (1) diag009, 1-17. doi: 10.1093/insilicoplants/diag009 |
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2025 Journal Article Unmanned aerial vehicle phenotyping of agronomic and physiological traits in mungbeanVan 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 |
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2025 Journal Article Phenotyping the hidden half: combining UAV phenotyping and machine learning to predict barley root traits in the fieldAlahmad, 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 |
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2025 Conference Publication Physics-informed machine learning offers muti-scale remote estimation of wheat biomass dynamicsQiaomin, Chen, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel, Fernandez, Javier, Garba, Ismail and Chapman, Scott (2025). Physics-informed machine learning offers muti-scale remote estimation of wheat biomass dynamics. 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, QLD Australia, 3-8 August 2025. |
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2025 Other Outputs Estimating biomass and radiation-use-efficiency in wheat variety trials using unmanned aerial vehiclesSmith, Daniel (2025). Estimating biomass and radiation-use-efficiency in wheat variety trials using unmanned aerial vehicles. PhD Thesis, School of Agriculture and Food Sustainability, The University of Queensland. doi: 10.14264/e2a7de4 |
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2025 Other Outputs 2024 Scott Teaching TrialGho 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 |
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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 locationSmith, 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 |
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2024 Conference Publication Assessing crop water use in wheat and sorghum National Variety Trials in AustraliaFernandez, 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. |
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2024 Conference Publication From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scalesChen, Qiaomin, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel T.L., Fernandez, Javier, Garba, Ismail I. and Chapman, Scott C. (2024). From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales. 3rd International Wheat Congress, Perth, WA Australia, 22-27 September 2024. Perth, WA Australia: IWC. |
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2024 Conference Publication Unravelling the genetics of mungbean canopy dynamics using UAV-derived prediction modelsVan Haeften, Shanice, Smith, Daniel, Dudley, Caitlin, Kang, Yichen, Douglas, Colin, Robinson, Hannah, Chapman, Scott, Potgieter, Andries, Hickey, Lee and Smith, Millicent (2024). Unravelling the genetics of mungbean canopy dynamics using UAV-derived prediction models. German Plant Breeding Conference 2024, Geisenheim, Germany, 19-21 March 2024. |
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2024 Journal Article GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotypingJames, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S. and Chapman, Scott C. (2024). GrainPointNet: a deep-learning framework for non-invasive sorghum panicle grain count phenotyping. Computers and Electronics in Agriculture, 217 108485, 108485. doi: 10.1016/j.compag.2023.108485 |
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2023 Journal Article Featured coverVan Haeften, Shanice, Dudley, Caitlin, Kang, Yichen, Smith, Daniel, Nair, Ramakrishnan M., Douglas, Colin A., Potgieter, Andries, Robinson, Hannah, Hickey, Lee T. and Smith, Millicent R. (2023). Featured cover. Food and Energy Security, 12 (6). doi: 10.1002/fes3.516 |
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2023 Journal Article Global wheat head detection challenges: winning models and application for head countingDavid, Etienne, Ogidi, Franklin, Smith, Daniel, Chapman, Scott, de Solan, Benoit, Guo, Wei, Baret, Frederic and Stavness, Ian (2023). Global wheat head detection challenges: winning models and application for head counting. Plant Phenomics, 5 0059, 1-14. doi: 10.34133/plantphenomics.0059 |
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2023 Conference Publication Environment characterisation of sorghum (Sorghum bicolor L.) crops using climate, satellite imagery, and crop simulation modelling in AustraliaJavier A. Fernandez, Hu, Pengcheng, Chen, Zhi, Gho Brito, Carla, Segura Pinzon, Camilo, Chen, Qiaomin, Smith, Daniel, Arief, Vivi, Zheng, Bangyou, Potgieter, Andries, Zhao, Yan, Ramakers, Jip, Hemerik, Jesse, van Eeuwijk, Fred and Chapman, Scott C. (2023). Environment characterisation of sorghum (Sorghum bicolor L.) crops using climate, satellite imagery, and crop simulation modelling in Australia. Global Sorghum Conference, Montpellier, France, 5-9 June 2023. |
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2023 Journal Article Building a better Mungbean: breeding for reproductive resilience in a changing climateVan Haeften, Shanice, Dudley, Caitlin, Kang, Yichen, Smith, Daniel, Nair, Ramakrishnan M., Douglas, Colin A., Potgieter, Andries, Robinson, Hannah, Hickey, Lee T. and Smith, Millicent R. (2023). Building a better Mungbean: breeding for reproductive resilience in a changing climate. Food and Energy Security, 12 (6) e467. doi: 10.1002/fes3.467 |
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2023 Journal Article VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentationMadec, Simon, Irfan, Kamran, Velumani, Kaaviya, Baret, Frederic, David, Etienne, Daubige, Gaetan, Samatan, Lucas Bernigaud, Serouart, Mario, Smith, Daniel, James, Chrisbin, Camacho, Fernando, Guo, Wei, De Solan, Benoit, Chapman, Scott C. and Weiss, Marie (2023). VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation. Scientific Data, 10 (1) 302, 1-12. doi: 10.1038/s41597-023-02098-y |
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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 |
