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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 Other Outputs Sorghum diversity head counting datasetKarannagoda, Rukshan, Baktashmotlagh, Mahsa and Chapman, Scott (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 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 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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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 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 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. IEEE. doi: 10.1109/igarss55030.2025.11242439 |
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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 |
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2025 Journal Article A scalable and efficient UAV-based pipeline and deep learning framework for phenotyping sorghum panicle morphology from point cloudsJames, 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 |
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2025 Journal Article Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systemsGarba, 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 |
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2025 Journal Article From soil health to agricultural productivity: The critical role of soil constraint managementLi, 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 |
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2025 Journal Article Multimodal sequential cross-modal transformer for predicting plant available water capacity (PAWC) from time series of weather and crop biological dataNguyen, 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 |
