Dr. Shweta Panjwani is a Postdoctoral Research Associate specializing in crop modelling, climate data analytics, and predictive modelling using machine learning for sustainable agriculture. Her research leverages process-based models-including DSSAT, DayCent, and APEX- for seasonal yield forecasting, environmental impact analysis and greenhouse gas emissions quantification. With extensive experience crop modelling, her work advances data-driven strategies to mitigate environmental impact and fortify agricultural resilience.

UNDERGRADUATE EDUCATION

B.S. in Computer Science, Mohan Lal Sukhadia University, India

GRADUATE EDUCATION

M.S. in Information Technology , Mohan Lal Sukhadia University, India

PhD in Information Technology, Amity University in academic collaboration with the Indian Agricultural Research Institute, India