Dr Qiaomin Chen

Postdoctoral Research Fellow

School of Agriculture and Food Sustainability

qiaomin.chen@uq.edu.au

Researcher biography

Dr. Qiaomin Chen is a postdoctoral research fellow at AGFS in the University of Queensland (UQ), working with Prof. Scott Chapman. Before receiving her PhD degree in Agricultural Science at UQ, she received her Master degree in Physical Geography (UCAS) and Bachelor degree in Geographical Information System (WHUT) in China. 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.

Publications

Journal Articles (14)

Conference Paper (1)

Data Collection (1)

Thesis (1)

Journal Articles

Smith, 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

Hu, 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

Zhi, Xiaoyu, George-Jaeggli, Barbara, Han, Yingchun, Chen, Qiaomin, Zhang, Shijie, Feng, Lu, Lei, Yaping, Li, Xiaofei, Wang, Guoping, Wang, Zhanbiao, Xiong, Shiwu, Xin, Minghua, Jiao, Yahui, Ma, Yunzhen, Li, Yabing and Yang, Beifang (2024). Comprehensive analysis on investigating water-saving potentials of irrigated cotton in semi-arid area in China. Agricultural Water Management, 301 108960, 1-11. doi: 10.1016/j.agwat.2024.108960

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

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

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

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

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

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

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

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

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

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

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 Paper

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.

Data Collection

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

Thesis

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

Areas of research

Agricultural science

Plant and crop science