Bio

Dr. Jumi Gogoi is a Postdoctoral Research Fellow at the University of Waterloo in the Department of Earth and Environmental Sciences. Her interdisciplinary applied research focuses on the use of large-scale agricultural datasets, satellite imagery and machine learning methods for informing climate-smart agricultural strategies. She completed her PhD at the University of British Columbia in February 2024 under the supervision of Dr. Navin Ramankutty and Dr. Nathaniel K. Newlands (Agriculture and Agri-Food Canada, Govt. of Canada). Her PhD research specifically focused on the application of satellite big-data and machine and deep learning methods for developing crop yield prediction models for the Canadian agricultural sector. Prior to her PhD, Jumi had an interdisciplinary academic background and has completed studies in Business Analytics (MS, University of Dallas), Economics (MSc, University of Bath) and Business (Lady Shri Ram College, University of Delhi). 

Featured Publications

Gogoi, J., Newlands, N. K., Mehrabi, Z., Coops, N. C., & Ramankutty, N. (2023). Assessing the Performance of Satellite-Based Models for Crop Yield Estimation in the Canadian Prairies. Canadian Journal of Remote Sensing, 49(1), 2252926. https://doi.org/10.1080/07038992.2023.2252926

Last updated September 2024.