Dr Yan Zhao

Research Fellow

Centre for Crop Science
Queensland Alliance for Agriculture and Food Innovation
yan.zhao@uq.edu.au
+61 7 336 56529

Overview

Dr. Yan Zhao’s research

Dr. Yan Zhao is a remote sensing scientist. His reserarch employs remote sensing observation of agricultural systems to reveal their spatial and temporal patterns and to promote earth observation techniques and modelling. His current interest is focused on developing improved algorithms, data inputs and thematic outputs which enable the mapping of the cropping systems and their dynamics from the field to national scales. Such maps enable better informed approaches to agricultural management, including precision agriculture, food security and agricultural markets. Dr. Zhao uses both machine and deep learning, and data driven agro-climatology modelling techniques in his work. He worked closely with institutes and industry partners across Australia to develop the applications using different earth observation platforms, including drones, aeroplanes and satellites, for Australia’s dryland cropping system.

Qualifications

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

Publications

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Grants

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Supervision

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Publications

Journal Article

Conference Publication

  • 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

  • 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

Grants (Administered at UQ)

PhD and MPhil Supervision

Note for students: Dr Yan Zhao is not currently available to take on new students.

Current Supervision