The University of Melbourne, Australia
Dr. Yidan Tang is an accomplished agricultural scientist whose work bridges plant physiology, remote sensing, and sustainable farming systems. She earned her PhD in Agricultural Science from the University of Melbourne, where she received distinctions including the Albert Shimmins Award, Best Student Presentation Award, and the Crawford Fund Scholarship. Her professional experience spans research, teaching, and science communication, beginning with her contributions to grant research projects and agricultural innovation initiatives. As a Research Fellow at the University of Melbourne, she advances drought resilience strategies for the horticulture industry, integrating survival signatures with cutting-edge sensing technologies for major crops such as almonds, pears, and nectarines. She has previously served as a Tutor and Associate Lecturer, developing interactive learning materials across multiple undergraduate and postgraduate subjects and supporting high-achieving students in sustainability-focused research. Her experience also includes STEMM outreach with Agriculture Victoria and leadership roles in university engagement, workshops, and science events. Her research interests focus on drought adaptation, precision agriculture, plant-environment interactions, and data-driven decision support for sustainable farming. With a strong record of scientific impact and communication excellence, Dr. Tang continues to contribute meaningfully to advancing resilient, technology-informed agricultural systems.
Featured Publications
Tang, Y., Fitzgerald, G. J., Gupta, D., Delahunty, A., Nuttall, J. G., & Walker, C. (2026). Predicting faba bean yield and grain quality pre-harvest using chemometric modelling. Precision Agriculture. https://doi.org/10.1007/s11119-025-10306-5
Fuentes, S., Viejo, C. G., Hall, C., Tang, Y., & Tongson, E. (2021). Berry cell vitality assessment and the effect on wine sensory traits based on chemical fingerprinting, canopy architecture and machine learning modelling. Sensors, 21(21), 7312. https://doi.org/10.3390/s21217312