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2025

Journal Article

Multi-modal feature integration from UAV-RGB imagery for high-precision cotton phenotyping: A paradigm shift toward cost-effective agricultural remote sensing

Zhi, Xiaoyu, Chen, Qiaomin, Han, Yingchun, Yang, Beifang, Wang, Yaru, Wu, Fengqi, Xiong, Shiwu, Jiao, Yahui, Ma, Yunzhen, Shang, Shilong, Lin, Tao, Lei, Yaping and Li, Yabing (2025). Multi-modal feature integration from UAV-RGB imagery for high-precision cotton phenotyping: A paradigm shift toward cost-effective agricultural remote sensing. Computers and Electronics in Agriculture, 239 111002, 1-18. doi: 10.1016/j.compag.2025.111002

Multi-modal feature integration from UAV-RGB imagery for high-precision cotton phenotyping: A paradigm shift toward cost-effective agricultural remote sensing

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, 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

Conference Publication

From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales

Chen, Qiaomin, Chen, Zhi, Hu, Pengcheng, Zheng, Bangyou, Smith, Daniel T.L., Fernandez, Javier, Garba, Ismail I. and Chapman, Scott C. (2024). From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales. 3rd International Wheat Congress, Perth, WA Australia, 22-27 September 2024. Perth, WA Australia: IWC.

From drones to satellites: biophysics-informed machine learning provides remote estimation of dynamic biomass across scales

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

Conference Publication

In-season phenotyping of wheat growth by integrating imaging, bio-physical modelling and machine learning

Chen, Q., Zheng, B., Chenu, K., Chen, T., Hu, P. and Chapman, S.C. (2023). In-season phenotyping of wheat growth by integrating imaging, bio-physical modelling and machine learning. Asia-Pacific Plant Phenomics Conference, Sanya, China, 7-10 July 2023.

In-season phenotyping of wheat growth by integrating imaging, bio-physical modelling and machine learning

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

Improve wheat LAI estimation from high spatial resolution multispectral images via soil reflectance calibration and background correction

Chen, Q., Zheng, B., Chenu, K., Hu, P. and Chapman, S. C. (2022). Improve wheat LAI estimation from high spatial resolution multispectral images via soil reflectance calibration and background correction. International Plant Phenotyping Symposium, Wageningen, Netherlands, 27-30 November 2022.

Improve wheat LAI estimation from high spatial resolution multispectral images via soil reflectance calibration and background correction

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