Research focuses on postharvest systems that use noninvasive sensing and imaging to quantify quality, safety, and shelf-life. Combines imaging, spectroscopy, portable sensors, and machine learning with process analytics to reduce food loss, optimize grading, and enable low-cost field diagnostics.