Skip to menu Skip to content Skip to footer
Dr Qiaomin Chen
Dr

Qiaomin Chen

Email: 

Overview

Background

Dr. Qiaomin Chen is currently a Research Fellow in the School of Agriculture and Food Sustainability (AGFS) at the University of Queensland (UQ). Before receiving her PhD in Agricultural Science at UQ, she completed a Master’s degree in Physical Geography at UCAS and a Bachelor’s degree in Geographical Information System at WHT in China. With a solid foundation across earth and agricultural sciences, she has consistently pursued interdisciplinary learning and collaboration, actively exploring innovative solutions at the interface of geoscience and agriculture. Her diverse background empowers her to tackle real-world challenges in agricultural production.

She is particularly passionate about developing and applying advanced technologies in precision agriculture and modern crop breeding to improve efficiency and sustainability. She works at the intersection of plant phenotyping, crop modelling, machine learning and climate adaptation. Her current research focuses on leveraging integrative modelling approaches to inform field experiment design, optimize phenotyping strategies, and support crop growth monitoring across spatial and temporal scales.

Availability

Dr Qiaomin Chen is:
Available for supervision

Qualifications

  • Bachelor (Honours) of Geographical Information Systems, Wuhan University of Technology (武汉理工大学, WUT)
  • Masters (Research) of Physical Geography and Environmental Geoscience, University of the Chinese Academy of Science
  • Doctor of Philosophy of Agriculture, The University of Queensland

Works

Search Professor Qiaomin Chen’s works on UQ eSpace

18 works between 2017 and 2025

1 - 18 of 18 works

2025

Journal Article

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

Garba, 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

Integrating yield gap analysis to capture genotype by environment by management interactions for Australian broadacre sorghum cropping systems

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 location

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

Prediction accuracy and repeatability of UAV based biomass estimation in wheat variety trials as affected by variable type, modelling strategy and sampling location

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 data

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

Estimating aboveground biomass dynamics of wheat at small spatial scale by integrating crop growth and radiative transfer models with satellite remote sensing data

2024

Journal Article

Comprehensive analysis on investigating water-saving potentials of irrigated cotton in semi-arid area in China

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

Comprehensive analysis on investigating water-saving potentials of irrigated cotton in semi-arid area in China

2023

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

Generic model to estimate wheat LAI

2023

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

A generic model to estimate wheat LAI over growing season regardless of the soil-type background

2023

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

In-season phenotyping of crop growth via the integration of imaging, modelling, and machine learning

2022

Conference Publication

Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learning

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.

Integrating APSIM and PROSAIL to improve prediction of crop traits in various situations from hyperspectral data using deep learning

2022

Journal Article

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

Unsupervised plot-scale LAI phenotyping via UAV-based imaging, modelling, and machine learning

2022

Journal Article

Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning

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

Integrating crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning

2022

Journal Article

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

Climate-associated major food crops production change under multi-scenario in China

2021

Journal Article

Plausible changes in wheat-growing periods and grain yield in China triggered by future climate change under multiple scenarios and periods

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

Plausible changes in wheat-growing periods and grain yield in China triggered by future climate change under multiple scenarios and periods

2019

Journal Article

Responses of wheat yields and water use efficiency to climate change and nitrogen fertilization in the North China plain

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

Responses of wheat yields and water use efficiency to climate change and nitrogen fertilization in the North China plain

2018

Journal Article

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

Effects of climate change and agronomic practice on changes in wheat phenology

2018

Journal Article

Impacts of historic climate variability and land use change on winter wheat climatic productivity in the North China Plain during 1980–2010

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

Impacts of historic climate variability and land use change on winter wheat climatic productivity in the North China Plain during 1980–2010

2018

Journal Article

Spatiotemporal differentiation of changes in wheat phenology in China under climate change from 1981 to 2010

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

Spatiotemporal differentiation of changes in wheat phenology in China under climate change from 1981 to 2010

2018

Journal Article

Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China

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

Modelling the impacts of climate change and crop management on phenological trends of spring and winter wheat in China

2017

Journal Article

Reponses and sensitivities of maize phenology to climate change from 1981 to 2009 in Henan Province, China

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

Reponses and sensitivities of maize phenology to climate change from 1981 to 2009 in Henan Province, China

Supervision

Availability

Dr Qiaomin Chen is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

Media

Enquiries

For media enquiries about Dr Qiaomin Chen's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au