Postdoctoral Research Fellow
Overview
Dr. Qiaomin Chen is a postdoctoral research fellow at SAFS in the University of Queensland (UQ). She received her PhD degree in agriculture sciences at UQ. Her multidisciplinary backgrounds in earth and agriculture sciences prepare her to be a motivated researcher in digital agriculture. She is passionate about deploying and developing innovative technologies in solving practical problems in agriculture production, especially in precision agriculture and modern breeding. Her current research interests mainly lie in plant phenotyping, crop modelling, machine learning and climate adaptation, with a particular interest in using simulation analysis to provide recommendations for field experiment design, phenotyping strategies, characterization of crop growth.
Qualifications
- Doctor of Philosophy of Agriculture, The University of Queensland
Publications
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Other Outputs: Generic model to estimate wheat LAI
Chen, Qiaomin, Chapman, Scott, Zheng, Bangyou, Chenu, Karine and Chen, Qiaomin (2023). Generic model to estimate wheat LAI. The University of Queensland. (Dataset) doi: 10.48610/ac9642c
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Journal Article: A generic model to estimate wheat LAI over growing season regardless of the soil-type background
Chen, 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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Other Outputs: In-season phenotyping of crop growth via the integration of imaging, modelling, and machine learning
Chen, Qiaomin (2023). In-season phenotyping of crop growth via the integration of imaging, modelling, and machine learning. PhD Thesis, School of Agriculture and Food Sciences, The University of Queensland. doi: 10.14264/a2c4a80
Publications
Journal Article
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A generic model to estimate wheat LAI over growing season regardless of the soil-type background
Chen, 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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Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning
Chen, 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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Chen, 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
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Climate-associated major food crops production change under multi-scenario in China
Liu, Yujie, Zhang, Jie, Pan, Tao, Chen, Qiaomin, Qin, Ya and Ge, Quansheng (2022). Climate-associated major food crops production change under multi-scenario in China. Science of the Total Environment, 811 151393, 151393. doi: 10.1016/j.scitotenv.2021.151393
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Liu, Yujie, Chen, Qiaomin, Chen, Jie, Pan, Tao and Ge, Quansheng (2021). Plausible changes in wheat-growing periods and grain yield in China triggered by future climate change under multiple scenarios and periods. Quarterly Journal of the Royal Meteorological Society, 147 (741), 4371-4387. doi: 10.1002/qj.4184
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Liu, Yujie, Chen, Qiaomin and Tan, Qinghua (2019). Responses of wheat yields and water use efficiency to climate change and nitrogen fertilization in the North China plain. Food Security, 11 (6), 1231-1242. doi: 10.1007/s12571-019-00976-1
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Effects of climate change and agronomic practice on changes in wheat phenology
Liu, Yujie, Chen, Qiaomin, Ge, Quansheng, Dai, Junhu and Dou, Yue (2018). Effects of climate change and agronomic practice on changes in wheat phenology. Climatic Change, 150 (3-4), 273-287. doi: 10.1007/s10584-018-2264-5
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Chen, Qiaomin, Liu, Yujie, Ge, Quansheng and Pan, Tao (2018). Impacts of historic climate variability and land use change on winter wheat climatic productivity in the North China Plain during 1980–2010. Land Use Policy, 76, 1-9. doi: 10.1016/j.landusepol.2018.04.018
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Liu, Yujie, Chen, Qiaomin, Ge, Quansheng and Dai, Junhu (2018). Spatiotemporal differentiation of changes in wheat phenology in China under climate change from 1981 to 2010. Science China Earth Sciences, 61 (8), 1088-1097. doi: 10.1007/s11430-017-9149-0
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Liu, Yujie, Chen, Qiaomin, Ge, Quansheng, Dai, Junhu, Qin, Ya, Dai, Liang, Zou, Xintong and Chen, Jie (2018). Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China. Agricultural and Forest Meteorology, 248, 518-526. doi: 10.1016/j.agrformet.2017.09.008
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Liu, Yujie, Qin, Ya, Ge, Quansheng, Dai, Junhu and Chen, Qiaomin (2017). Reponses and sensitivities of maize phenology to climate change from 1981 to 2009 in Henan Province, China. Journal of Geographical Sciences, 27 (9), 1072-1084. doi: 10.1007/s11442-017-1422-4
Conference Publication
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Chen, Qiaomin, Zheng, Bangyou, Chen, Tong and Chapman, Scott (2022). Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learning. 20th Agronomy Australia Conference, Toowoomba, QLD, Australia, 18-22 September 2022. Willow Grove, VIC Australia: Australian Society of Agronomy.
Other Outputs
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Generic model to estimate wheat LAI
Chen, Qiaomin, Chapman, Scott, Zheng, Bangyou, Chenu, Karine and Chen, Qiaomin (2023). Generic model to estimate wheat LAI. The University of Queensland. (Dataset) doi: 10.48610/ac9642c
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In-season phenotyping of crop growth via the integration of imaging, modelling, and machine learning
Chen, Qiaomin (2023). In-season phenotyping of crop growth via the integration of imaging, modelling, and machine learning. PhD Thesis, School of Agriculture and Food Sciences, The University of Queensland. doi: 10.14264/a2c4a80
