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2026 Journal Article Versioned soil organic carbon maps for climate-resilient and sustainable cities: a ridge-penalised linear mixed-effects ensemble of MIR-based predictionsTian, Xin, Liu, Qingyang, Dalal, Ram C., Li, Tong, Wu, Jinran, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Versioned soil organic carbon maps for climate-resilient and sustainable cities: a ridge-penalised linear mixed-effects ensemble of MIR-based predictions. Physics and Chemistry of the Earth, 143 104390, 1-15. doi: 10.1016/j.pce.2026.104390 |
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2026 Journal Article From plots to commercial fields: scalable, transferable cotton morphology and productivity estimation using functional growth proxies from UAV and PlanetScope time seriesDevoto, Francesca, Bange, Michael, Camino, Carlos, Woodgate, William, Chapman, Scott and Potgieter, Andries (2026). From plots to commercial fields: scalable, transferable cotton morphology and productivity estimation using functional growth proxies from UAV and PlanetScope time series. Plant Phenomics 100220, 100220. doi: 10.1016/j.plaphe.2026.100220 |
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2026 Journal Article Mapping soil organic carbon research in conservation agriculture: a systematic reviewLiu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Mapping soil organic carbon research in conservation agriculture: a systematic review. Farming System 100241, 100241. doi: 10.1016/j.farsys.2026.100241 |
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2026 Journal Article Corrigendum to “Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: Effects of sample size, dimensionality, and transferability” [Smart Agricultural Technology, Volume 13 (2026), Article 101936]Ashourloo, Davoud, Brider, Jason, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Chapman, Scott, Hammer, Graeme and Potgieter, Andries B. (2026). Corrigendum to “Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: Effects of sample size, dimensionality, and transferability” [Smart Agricultural Technology, Volume 13 (2026), Article 101936]. Smart Agricultural Technology 101983, 101983. doi: 10.1016/j.atech.2026.101983 |
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2026 Other Outputs Sorghum diversity head counting datasetKarannagoda, Rukshan, Baktashmotlagh, Mahsa, Chapman, Scott, Wang, Zijian, Guo, Kaiyu, Luo, Yadan, James, Chrisbin and Zheng, Bangyou (2026). Sorghum diversity head counting dataset. The University of Queensland. (Dataset) doi: 10.48610/45beb77 |
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2026 Journal Article Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: Effects of sample size, dimensionality, and transferabilityAshourloo, Davoud, Brader, Jason, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Chapman, Scott, Hammer, Graeme and Potgieter, Andries B (2026). Machine learning approaches for wheat yield prediction integrating biophysical modeling and remote sensing: Effects of sample size, dimensionality, and transferability. Smart Agricultural Technology, 13 101936, 101936. doi: 10.1016/j.atech.2026.101936 |
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2026 Journal Article A Large-Scale In-the-wild Dataset for Plant Disease SegmentationWei, Tianqi, Chen, Zhi, Yu, Xin, Chapman, Scott, Melloy, Paul and Huang, Zi (2026). A Large-Scale In-the-wild Dataset for Plant Disease Segmentation. Scientific Data, 13 (1) 205, 205. doi: 10.1038/s41597-025-06513-4 |
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2026 Conference Publication Dynamic Orchestration of Multi-agent System for Real-World Multi-image Agricultural VQAKe, Yan, Yu, Xin, Du, Heming, Chapman, Scott and Huang, Helen (2026). Dynamic Orchestration of Multi-agent System for Real-World Multi-image Agricultural VQA. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-981-95-6196-4_11 |
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2026 Conference Publication Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest SegmentationWei, Tianqi, Yu, Xin, Chen, Zhi, Chapman, Scott and Huang, Zi (2026). Augment to Segment: Tackling Pixel-Level Imbalance in Wheat Disease and Pest Segmentation. Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-981-95-6196-4_3 |
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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. doi: 10.1093/insilicoplants/diag009 |
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2025 Conference Publication Cost-effective agronomic practices could unlock Australian wheat yield potentialLi, 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. |
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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 Journal Article The Global Wheat Full Semantic Organ Segmentation (GWFSS) datasetWang, 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 |
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2025 Journal Article Characterising wheat and barley growth and phenology using multispectral remote sensing for site-specific precision agricultureZhao, 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 |
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2025 Conference Publication Evaluating neural kernel surface reconstruction for extracting mesh geometry from pointclouds for volumetric analysis of sorghum paniclesJames, 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. 2025 International Geoscience and Remote Sensing Symposium-IGARSS-Annual, Brisbane, QLD, Australia, 3-8 August 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss55030.2025.11242439 |
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2025 Conference Publication Quantifying cotton growth rate from multispectral UAV imagery at plot scaleDevoto, 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. IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, QLD, Australia, 3-8 August 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss55030.2025.11243794 |
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2025 Journal Article Comprehensive assessment of PeriodiCT model for canopy temperature forecastingShao, 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, 1-30. doi: 10.3390/agronomy15071665 |
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2025 Conference Publication A screening method to assess lodging resistance in a diverse set of sorghum germplasmGeetika, 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. |
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2025 Journal Article A Bayesian framework for crop model calibration: A case study in the US Corn BeltZiliani, 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 |
