Sunoj Shajahan

Sunoj Shajahan is an Assistant Professor in the Department of Agricultural and Biological Engineering at the University of Illinois, affiliated with the Center for Digital Agriculture and the National Center for Supercomputing Applications (NCSA). His research focuses on precision agriculture, remote sensing, and machine learning applications in crop yield estimation and agricultural systems analysis.

Education:

• Ph.D. in Agricultural and Biosystems Engineering, North Dakota State University (2015–2019)
• M.Tech. in Agricultural Processing and Food Engineering, Tamil Nadu Agricultural University (2012–2014)
• B.Tech. in Food Process Engineering, Tamil Nadu Agricultural University (2008–2012)

Research Interests:

• Crop yield prediction using UAS (drones) and satellite imagery
• Machine learning-driven agricultural data analytics
• Phenological monitoring via PhenoCam technology
• Biodigester product analysis for sustainable fertilization
• Precision agriculture tools for on-farm research

Recent Work Trends: Shajahan's publications emphasize integrating geospatial technologies with machine learning to optimize corn production systems. His work spans crop stand counting, yield stability zones, and farmer-friendly precision agriculture solutions.

Labs & Teams: Active in the Center for Digital Agriculture and collaborates with NCSA on computational agriculture projects. Engages in multidisciplinary teams addressing crop monitoring and sustainable farming practices.