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2026 Journal Article CropVision: A Multiscale EO-AI-Climate-Biophysical modelling framework for predicting crop performance in Australian wheat and sorghum systemsPotgieter, Andries B, Brider, Jason, Ashourloo, Davoud, Schepen, Andrew, Zhao, Yan, Jiang, Ruizhu, Chapman, Scott, Zhang, Miao, Wu, Bingfang, Russell, Kerry and Hammer, Graeme (2026). CropVision: A Multiscale EO-AI-Climate-Biophysical modelling framework for predicting crop performance in Australian wheat and sorghum systems. in silico Plants diag018. doi: 10.1093/insilicoplants/diag018 |
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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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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 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 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 |
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2024 Journal Article Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing dataHu, Pengcheng, Zheng, Bangyou, Chen, Qiaomin, Grunefeld, Swaantje, Choudhury, Malini Roy, Fernandez, Javier, Potgieter, Andries and Chapman, Scott C. (2024). Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data. Remote Sensing of Environment, 311 114277, 1-15. doi: 10.1016/j.rse.2024.114277 |
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2024 Journal Article Mapping quantitative trait loci for seminal root angle in a selected durum wheat populationKang, Yichen, Alahmad, Samir, Haeften, Shanice V., Akinlade, Oluwaseun, Tong, Jingyang, Dinglasan, Eric, Voss‐Fels, Kai P., Potgieter, Andries B., Borrell, Andrew K., Makhoul, Manar, Obermeier, Christian, Snowdon, Rod, Mace, Emma, Jordan, David R. and Hickey, Lee T. (2024). Mapping quantitative trait loci for seminal root angle in a selected durum wheat population. The Plant Genome, 18 (1) e20490, e20490. doi: 10.1002/tpg2.20490 |
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2024 Journal Article Seminal root angle is associated with root system architecture in durum wheatKang, Yichen, Rambla, Charlotte, Haeften, Shanice V., Fu, Brendan, Akinlade, Oluwaseun, Potgieter, Andries B., Borrell, Andrew K., Mace, Emma, Jordan, David R., Alahmad, Samir and Hickey, Lee T. (2024). Seminal root angle is associated with root system architecture in durum wheat. Food and Energy Security, 13 (4) e570. doi: 10.1002/fes3.570 |
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2024 Journal Article Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of AustraliaXie, Zunyi, Zhao, Yan, Jiang, Ruizhu, Zhang, Miao, Hammer, Graeme, Chapman, Scott, Brider, Jason and Potgieter, Andries B. (2024). Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia. Remote Sensing of Environment, 305 114070, 1-14. doi: 10.1016/j.rse.2024.114070 |
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2024 Journal Article Fusarium wilt constrains mungbean yield due to reduction in source availabilityVan Haeften, Shanice, Kang, Yichen, Dudley, Caitlin, Potgieter, Andries, Robinson, Hannah, Dinglasan, Eric, Wenham, Kylie, Noble, Thomas, Kelly, Lisa, Douglas, Colin A, Hickey, Lee and Smith, Millicent R (2024). Fusarium wilt constrains mungbean yield due to reduction in source availability. AoB Plants, 16 (2) plae021, plae021. doi: 10.1093/aobpla/plae021 |
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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 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 Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangelandMyint Swe, Than, Williams, Wendy J., Schmidt, Susanne, Potgieter, Andries, Cowley, Robyn, Mellor, Vincent, Driscoll, Colin and Zhao, Yan (2023). Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland. The Rangeland Journal, 44 (6), 263-278. doi: 10.1071/rj22019 |
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2023 Journal Article A cross‐scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environmentsWu, Alex, Brider, Jason, Busch, Florian A., Chen, Min, Chenu, Karine, Clarke, Victoria C., Collins, Brian, Ermakova, Maria, Evans, John R., Farquhar, Graham D., Forster, Britta, Furbank, Robert T., Gorszmann, Michael, Hernandez, Miguel A., Long, Benedict M., Mclean, Greg, Potgieter, Andries, Dean Price, G., Sharwood, Robert E., Stower, Michael, van Oosterom, Erik, von Caemmerer, Susanne, Whitney, Spencer M. and Hammer, Graeme L. (2023). A cross‐scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield across environments. Plant, Cell & Environment, 46 (1), 23-44. doi: 10.1111/pce.14453 |
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2023 Journal Article From prototype to inference: a pipeline to apply deep learning in sorghum panicle detectionJames, Chrisbin, Gu, Yanyang, Potgieter, Andries, David, Etienne, Madec, Simon, Guo, Wei, Baret, Frédéric, Eriksson, Anders and Chapman, Scott (2023). From prototype to inference: a pipeline to apply deep learning in sorghum panicle detection. Plant Phenomics, 5 0017, 1-16. doi: 10.34133/plantphenomics.0017 |
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2022 Journal Article Challenges and opportunities in remote sensing-based crop monitoring: a reviewWu, Bingfang, Zhang, Miao, Zeng, Hongwei, Tian, Fuyou, Potgieter, Andries B., Qin, Xingli, Yan, Nana, Chang, Sheng, Zhao, Yan, Dong, Qinghan, Boken, Vijendra, Plotnikov, Dmitry, Guo, Huadong, Wu, Fangming, Zhao, Hang, Deronde, Bart, Tits, Laurent and Loupian, Evgeny (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review, 10 (4) nwac290, 1-34. doi: 10.1093/nsr/nwac290 |
