Dr. Sapkota is an agronomist specializing in digital agriculture. His work focuses on: a. Integrating multisource data from agronomic experiments, UAVs, and satellite remote sensing (multispectral, LiDAR), b. Applying machine learning to build predictive models for crop health and productivity, and c. Enabling data-driven decision-making for more efficient and sustainable crop management.

GRADUATE EDUCATION

M.S. in Agronomy - Texas A&M University, College Station (2022)

Ph.D. in Agronomy – Texas A&M University, College Station (2025)