Yiyi Xiong

Yiyi Xiong is a Research Fellow (Crop Sensing) at the University of Southern Queensland's Centre for Agricultural Engineering (Research). She holds a MAgSc from Queensland (2018) and a PhD from USQ (expected 2025). Her work focuses on integrating remote sensing technologies (UAVs, NIR spectroscopy) with machine learning to enhance precision agriculture, particularly in crop disease detection and soil health assessment.

Education:

• PhD (by Publication) in Agricultural Engineering, University of Southern Queensland (2025)
• MAgSc in Agricultural Science, Queensland (2018)

Research Interests: Yiyi specializes in crop sensing technologies, including UAV-based multispectral imaging and NIR spectroscopy, to address challenges like pre-visual disease detection in wheat (e.g., common root rot). She combines machine learning and deep learning algorithms with agronomic practices to improve crop productivity and sustainability. Her work spans crops such as wheat, barley, mungbean, and horticultural species like blueberries and strawberries.

Collaborations & Funding: She collaborates with QDPI, John Deere, CSIRO, and pathologists across disciplines. Her projects emphasize data-driven solutions for pest/disease management and precision agriculture.

Labs & Teams: Affiliated with the Centre for Agricultural Engineering, focusing on interdisciplinary research in agritech innovation.