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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 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 |
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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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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 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. |
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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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2021 Journal Article Maize production and nitrous oxide emissions from enhanced efficiency nitrogen fertilizersDang, Yash P., Martinez, Cristina, Smith, Daniel, Rowlings, David, Grace, Peter and Bell, Mike (2021). Maize production and nitrous oxide emissions from enhanced efficiency nitrogen fertilizers. Nutrient Cycling in Agroecosystems, 121 (2-3), 191-208. doi: 10.1007/s10705-021-10171-4 |
