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Dr Yan Zhao
Dr

Yan Zhao

Email: 
Phone: 
+61 7 336 56529

Overview

Background

Dr Yan Zhao is a dedicated researcher in the field of agricultural systems, utilizing remote sensing observations to unveil spatial and temporal patterns and advance earth observation techniques and modelling. He is an integral member of a multi-disciplinary predictive agriculture research group based at QAAFI.

Currently, Dr Zhao's focus lies in the intricate integration of spatial technologies, crop modelling, and climate forecasting systems at various scales. His primary objective is to leverage remote sensing and crop simulation techniques for a comprehensive understanding of Australia's dryland cropping system. In pursuit of this goal, he has successfully developed pipelines for handling volumetric spatial datasets and delivering crucial information on crop types, production, and phenology, spanning from local to national scales.

Engaging actively with agri-business companies, government departments, and local growers, Dr Zhao collaborates closely with stakeholders to validate and implement his research findings in practical applications.

Dr Zhao earned his Doctoral Degree in Natural Science, with a specialized focus on Cartography and Geographic Information Systems. He completed his doctoral research at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, in 2013.

Availability

Dr Yan Zhao is:
Not available for supervision

Qualifications

  • Doctor of Philosophy of Natural Science, University of the Chinese Academy of Science

Works

Search Professor Yan Zhao’s works on UQ eSpace

41 works between 2011 and 2024

1 - 20 of 41 works

2024

Journal Article

Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia

Xie, 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

Seasonal dynamics of fallow and cropping lands in the broadacre cropping region of Australia

2023

Conference Publication

Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning

Potgieter, A. B., Camino, C., Poblete, T., Zhi, X., Reynolds-Massey-Reed, S., Zhao, Y., Belwalkar, A., Ruizhu, J., George-Jaeggli, B., Chapman, S., Jordan, D., Wu, A., Hammer, G. L. and J, Zarco-Tejada P. (2023). Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning. 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA USA, 16-21 July 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/igarss52108.2023.10282230

Advances in the study of biochemical, morphological and physiological traits of wheat and sorghum crops in australia using hyperspectral data and machine learning

2023

Journal Article

A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering

Li, Yuanchao, Zeng, Hongwei, Zhang, Miao, Wu, Bingfang, Zhao, Yan, Yao, Xia, Cheng, Tao, Qin, Xingli and Wu, Fangming (2023). A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering. International Journal of Applied Earth Observation and Geoinformation, 118 103269, 1-21. doi: 10.1016/j.jag.2023.103269

A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering

2023

Journal Article

Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland

Myint Swe, Than, Williams, Wendy J., Schmidt, Susanne, Potgieter, Andries, Cowley, Robyn, Mellor, Vincent, Driscoll, Colin and Zhao, Yan (2023). Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland. The Rangeland Journal, 44 (6), 263-278. doi: 10.1071/rj22019

Using digital photography to monitor changes in biocrusts and ground cover in a savanna rangeland

2022

Journal Article

Challenges and opportunities in remote sensing-based crop monitoring: a review

Wu, Bingfang, Zhang, Miao, Zeng, Hongwei, Tian, Fuyou, Potgieter, Andries B., Qin, Xingli, Yan, Nana, Chang, Sheng, Zhao, Yan, Dong, Qinghan, Boken, Vijendra, Plotnikov, Dmitry, Guo, Huadong, Wu, Fangming, Zhao, Hang, Deronde, Bart, Tits, Laurent and Loupian, Evgeny (2022). Challenges and opportunities in remote sensing-based crop monitoring: a review. National Science Review, 10 (4) nwac290, 1-34. doi: 10.1093/nsr/nwac290

Challenges and opportunities in remote sensing-based crop monitoring: a review

2022

Journal Article

Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin

Lu, Zhixiang, Feng, Qi, Wei, Yongping, Zhao, Yan, Deo, Ravinesh C., Xie, Jiali, Zhou, Sha, Zhu, Meng and Xu, Min (2022). Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin. Science of the Total Environment, 851 (Pt 2) 158359, 158359. doi: 10.1016/j.scitotenv.2022.158359

Basin management inspiration from impacts of alternating dry and wet conditions on water production and carbon uptake in Murray-Darling Basin

2022

Journal Article

Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum

Zhi, Xiaoyu, Massey-Reed, Sean Reynolds, Wu, Alex, Potgieter, Andries, Borrell, Andrew, Hunt, Colleen, Jordan, David, Zhao, Yan, Chapman, Scott, Hammer, Graeme and George-Jaeggli, Barbara (2022). Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum. Plant Phenomics, 2022 9768502, 1-18. doi: 10.34133/2022/9768502

Estimating photosynthetic attributes from high-throughput canopy hyperspectral sensing in sorghum

2022

Conference Publication

A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields

Das, Sumanta, Massey-Reed, Sean Reynolds, Mahuika, Jenny, Watson, James, Cordova, Celso, Otto, Loren, Zhao, Yan, Chapman, Scott, George-Jaeggli, Barbara, Jordan, David, Hammer, Graeme L. and Potgieter, Andries B. (2022). A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/IGARSS46834.2022.9884530

A high-throughput phenotyping pipeline for rapid evaluation of morphological and physiological crop traits across large fields

2022

Conference Publication

Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia

Nguyen, Dung, Zhao, Yan, Zhang, Yifan, Huynh, Anh Ngoc-Lan, Roosta, Fred, Hammer, Graeme, Chapman, Scott and Potgieter, Andries (2022). Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 17-22 July 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IGARSS46834.2022.9883737

Crop type prediction utilising a long short-term memory with a self-attention for winter crops in Australia

2021

Journal Article

Detecting sorghum plant and head features from multispectral UAV imagery

Zhao, Yan, Zheng, Bangyou, Chapman, Scott C., Laws, Kenneth, George-Jaeggli, Barbara, Hammer, Graeme L., Jordan, David R. and Potgieter, Andries B. (2021). Detecting sorghum plant and head features from multispectral UAV imagery. Plant Phenomics, 2021 9874650, 9874650-14. doi: 10.34133/2021/9874650

Detecting sorghum plant and head features from multispectral UAV imagery

2021

Journal Article

Evolution and application of digital technologies to predict crop type and crop phenology in agriculture

Potgieter, A. B., Zhao, Yan, Zarco-Tejada, Pablo J, Chenu, Karine, Zhang, Yifan, Porker, Kenton, Biddulph, Ben, Dang, Yash P., Neale, Tim, Roosta, Fred and Chapman, Scott (2021). Evolution and application of digital technologies to predict crop type and crop phenology in agriculture. In Silico Plants, 3 (1) diab017, 1-23. doi: 10.1093/insilicoplants/diab017

Evolution and application of digital technologies to predict crop type and crop phenology in agriculture

2020

Journal Article

Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 bc to 1911 ad

Wu, Shuanglei, Wei, Yongping, Head, Brian, Zhao, Yan and Hanna, Scott (2020). Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 bc to 1911 ad. Ambio, 50 (5), 1101-1116. doi: 10.1007/s13280-020-01424-7

Using a process-based model to understand dynamics of Chinese agricultural and water technology development from 8000 bc to 1911 ad

2020

Journal Article

Evolution and effects of the social-ecological system over a millennium in China's Loess Plateau

Wu, Xutong, Wei, Yongping, Fu, Bojie, Wang, Shuai, Zhao, Yan and Moran, Emilio F. (2020). Evolution and effects of the social-ecological system over a millennium in China's Loess Plateau. Science Advances, 6 (41) eabc0276. doi: 10.1126/sciadv.abc0276

Evolution and effects of the social-ecological system over a millennium in China's Loess Plateau

2020

Journal Article

An integrative influence of saline water irrigation and fertilization on the structure of soil bacterial communities

Chen, L. J., Li, C. S., Feng, Q., Wei, Y. P., Zhao, Y., Zhu, M. and Deo, R. C. (2020). An integrative influence of saline water irrigation and fertilization on the structure of soil bacterial communities. Journal of Agricultural Science, 157 (9-10), 693-700. doi: 10.1017/S002185962000012X

An integrative influence of saline water irrigation and fertilization on the structure of soil bacterial communities

2020

Journal Article

Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling

Zhao, Yan, Potgieter, Andries B., Zhang, Miao, Wu, Bingfang and Hammer, Graeme L. (2020). Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling. Remote Sensing, 12 (6) 1024, 1024. doi: 10.3390/rs12061024

Predicting wheat yield at the field scale by combining high-resolution sentinel-2 satellite imagery and crop modelling

2019

Journal Article

Water stress affects the frequency of Firmicutes, Clostridiales and Lysobacter in rhizosphere soils of greenhouse grape

Zhang, Rui, Chen, Lijuan, Niu, Zuirong, Song, Shuzhen and Zhao, Yan (2019). Water stress affects the frequency of Firmicutes, Clostridiales and Lysobacter in rhizosphere soils of greenhouse grape. Agricultural Water Management, 226 105776, 105776. doi: 10.1016/j.agwat.2019.105776

Water stress affects the frequency of Firmicutes, Clostridiales and Lysobacter in rhizosphere soils of greenhouse grape

2019

Journal Article

The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD

Wu, Shuanglei, Wei, Yongping, Head, Brian, Zhao, Yan and Hanna, Scott (2019). The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD. Palgrave Communications, 5 (1) 77. doi: 10.1057/s41599-019-0282-1

The development of ancient Chinese agricultural and water technology from 8000 BC to 1911 AD

2019

Journal Article

Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: implications for water resources management in endorheic basins

Guo, Xiaoyan, Feng, Qi, Si, Jianhua, Xi, Haiyang, Zhao, Yan and Deo, Ravinesh C. (2019). Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: implications for water resources management in endorheic basins. Journal of Hydrology, 579 124212. doi: 10.1016/j.jhydrol.2019.124212

Partitioning groundwater recharge sources in multiple aquifers system within a desert oasis environment: implications for water resources management in endorheic basins

2019

Journal Article

Pathways from payments for ecosystem services program to socioeconomic outcomes

Wu, Xutong, Wang, Shuai, Fu, Bojie, Zhao, Yan and Wei, Yongping (2019). Pathways from payments for ecosystem services program to socioeconomic outcomes. Ecosystem Services, 39 101005, 101005. doi: 10.1016/j.ecoser.2019.101005

Pathways from payments for ecosystem services program to socioeconomic outcomes

2019

Journal Article

A landscape management analysis framework and its preliminary application in Ejina Oasis, Northwest China

Ran, YouHua and Zhao, Yan (2019). A landscape management analysis framework and its preliminary application in Ejina Oasis, Northwest China. Sciences in Cold and Arid Regions, 11 (3), 239-247. doi: 10.3724/SP.J.1226.2019.00239

A landscape management analysis framework and its preliminary application in Ejina Oasis, Northwest China

Funding

Current funding

  • 2024 - 2025
    RiskSSmart: Digital tool for de-risking sorghum production decisions (SMART SAT CRC)
    SmartSat CRC
    Open grant

Past funding

  • 2020 - 2022
    Machine learning to extract maximum value from soil and crop variability (GRDC project administered by The University of Adelaide).
    University of Adelaide
    Open grant
  • 2017 - 2021
    Establishing an innovative method for long term resource management at catchment scale
    Cold and Arid Regions Environmental & Engineering Research Institute, Chinese Academy of Sciences
    Open grant

Supervision

Availability

Dr Yan Zhao is:
Not available for supervision

Supervision history

Current supervision

Completed supervision

Media

Enquiries

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

communications@uq.edu.au