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2026 Journal Article Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'"Liu, Qingyang, Tian, Xin, Dalal, Ram C., Wu, Jinran, Xia, Anquan, Wu, Xiaoxuan, Li, Tong, McLachlan, Geoffrey J., Chapman, Scott and Dang, Yash P. (2026). Distinguishing knowledge mapping from biophysical evidence: A Rejoinder to "Comment on 'Mapping Soil Organic Carbon Research in Conservation Agriculture'". Farming System, 4 (4) 100255, 100255. doi: 10.1016/j.farsys.2026.100255 |
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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 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 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, 4 (4) 100241, 100241. doi: 10.1016/j.farsys.2026.100241 |
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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, 8 (3) 100220, 100220. doi: 10.1016/j.plaphe.2026.100220 |
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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 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, 1-13. 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 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 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 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 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 |
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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 |
