Annelise Intemann

Annelise is a PhD student in Biological and Agricultural Engineering, collaborating with Dr. Daniela Jones. Her research aims to enhance profitability and sustainability in the sweetpotato industry by developing machine learning (ML) models and decision-support tools to optimize post-harvest outcomes. Focusing on reducing waste due to cosmetic imperfections, her work will leverage publicly available data (e.g., soil, environmental, and geospatial) and insights from partnered growers to create predictive models for sweetpotato grade and growth. By codifying grower mental models into computational frameworks using Decision Intelligence methodologies, she will improve decision-making, yield predictions, and crop management. Additionally, her research will incorporate data from North Carolina consignment sellers to refine and validate these yield models, with the goal of achieving 70% model accuracy and overall reducing industry waste. She holds a B.S. in Computer Information Systems and a B.S in Supply Chain Management from Appalachian State University, as well as a Agriculture Data Science Certificate from North Carolina State University.