Sai Manogna Adapa

Sai Manogna Adapa Ph.D., Weed Science, Advisor – Franck Dayan Agricultural Biology - Weed Science saimanogna.adapa@colostate.edu

Research Area

My research focuses on developing remote sensing-based disease phenotyping methods for sugar beet. I use hyperspectral imaging, machine learning, and spectral feature analysis to characterize the physiological responses of different genotypes to Rhizoctonia crown and root rot infection, with the goal of identifying spectral biomarkers for early disease detection and resistance screening in breeding programs.