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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 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. 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 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 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 Preliminary results in innovative solutions for soil carbon estimation: integrating remote sensing, machine learning, and proximal sensing spectroscopyLi, Tong, Xia, Anquan, McLaren, Timothy I., Pandey, Rajiv, Xu, Zhihong, Liu, Hongdou, Manning, Sean, Madgett, Oli, Duncan, Sam, Rasmussen, Peter, Ruhnke, Florian, Yüzügüllü, Onur, Fajraoui, Noura, Beniwal, Deeksha, Chapman, Scott, Tsiminis, Georgios, Smith, Chaya, Dalal, Ram C. and Dang, Yash P. (2023). Preliminary results in innovative solutions for soil carbon estimation: integrating remote sensing, machine learning, and proximal sensing spectroscopy. Remote Sensing, 15 (23) 5571, 1-17. doi: 10.3390/rs15235571 |
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2023 Journal Article Modelling the impacts of diverse cover crops on soil water and nitrogen and cash crop yields in a sub-tropical drylandGarba, Ismail I., Bell, Lindsay W., Chapman, Scott, deVoil, Peter, Kamara, Alpha Y. and Williams, Alwyn (2023). Modelling the impacts of diverse cover crops on soil water and nitrogen and cash crop yields in a sub-tropical dryland. Field Crops Research, 301 109019, 1-14. doi: 10.1016/j.fcr.2023.109019 |
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2023 Journal Article Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek)Xiong, Yiyi, Chiau, Lucas Mauro Rogerio, Wenham, Kylie, Collins, Marisa and Chapman, Scott C. (2023). Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek). Crop and Pasture Science, 75 (1) CP22335CO. doi: 10.1071/cp22335 |
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2023 Journal Article Coherent Terahertz laser feedback interferometry for hydration sensing in leavesKashyap, Mayuri, Torniainen, Jari, Bertling, Karl, Kundu, Urbi, Singh, Khushboo, Donose, Bogdan, Gillespie, Tim, Lim, Yah Leng, Indjin, Dragan, Li, Lian He, Linfield, Edmund, Davies, Giles, Dean, Paul, Smith, Millicent, Chapman, Scott, Bandyopadhyay, Aparajita, Sengupta, Amartya and Rakic, Aleksandar (2023). Coherent Terahertz laser feedback interferometry for hydration sensing in leaves. Optics Express, 31 (15), 23877-23888. doi: 10.1364/oe.490217 |
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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 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 Journal Article A generic model to estimate wheat LAI over growing season regardless of the soil-type backgroundChen, Qiaomin, Zheng, Bangyou, Chenu, Karine and Chapman, Scott C. (2023). A generic model to estimate wheat LAI over growing season regardless of the soil-type background. Plant Phenomics, 5 0055, 0055. doi: 10.34133/plantphenomics.0055 |
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2023 Journal Article Self-supervised plant phenotyping by combining domain adaptation with 3D plant model simulations: application to wheat leaf counting at seedling stageLi, Yinglun, Zhan, Xiaohai, Liu, Shouyang, Lu, Hao, Jiang, Ruibo, Guo, Wei, Chapman, Scott, Ge, Yufeng, Solan, Benoit de, Ding, Yanfeng and Baret, Frédéric (2023). Self-supervised plant phenotyping by combining domain adaptation with 3D plant model simulations: application to wheat leaf counting at seedling stage. Plant Phenomics, 5 0041, 1-13. doi: 10.34133/plantphenomics.0041 |
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2023 Journal Article CCAT-prime collaboration: science goals and forecasts with Prime-Cam on the Fred Young Submillimeter TelescopeAravena, Manuel E., Austermann, Jason E., Basu, Kaustuv, Battaglia, Nicholas, Beringue, Benjamin, Bertoldi, Frank, Bigiel, Frank C., Bond, J. Richard, Breysse, Patrick C., Broughton, Colton C., Bustos, Ricardo, Chapman, Scott C. K., Charmetant, Maude T., Choi, Steve K. E., Chung, Dongwoo T. F., Clark, Susan E. T., Cothard, Nicholas F., Crites, Abigail T., Dev, Ankur J., Douglas, Kaela, Duell, Cody J., Duenner, Rolando, Ebina, Haruki, Erler, Jens M., Fich, Michel, Fissel, Laura M., Foreman, Simon A., Freundt, R. G., Gallardo, Patricio A. ... Zou, Bugao (2023). CCAT-prime collaboration: science goals and forecasts with Prime-Cam on the Fred Young Submillimeter Telescope. Astrophysical Journal Supplement Series, 264 (1) 7, 1-39. doi: 10.3847/1538-4365/ac9838 |
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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 Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learningChen, Qiaomin, Zheng, Bangyou, Chenu, Karine, Hu, Pengcheng and Chapman, Scott C. (2022). Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning. Plant Phenomics, 2022 9768253, 1-19. doi: 10.34133/2022/9768253 |
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2022 Journal Article Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learningChen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott C. (2022). Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning. Journal of Experimental Botany, 73 (19), 6558-6574. doi: 10.1093/jxb/erac291 |
