Hello, I'm Orestis Giannopoulos

Creative

I’m a PhD researcher in Horticulture at the University of Georgia, specializing in postharvest physiology, chilling injury, and advanced quality assessment of fresh fruit. My work bridges plant physiology, storage biology, and data science to improve fruit quality, reduce postharvest losses, and enhance decision-making across the supply chain. I combine controlled storage experiments, ozone technologies, and near-infrared (NIR) spectroscopy with statistical modeling and machine learning to better understand how harvest maturity, temperature management, and physiological responses shape fruit quality. My research integrates lab-based experimentation with AI-driven analytics to translate complex physiological processes into practical, industry-ready solutions. With experience in ozone treatments, chilling injury mitigation, maturity classification, and sensor-based modeling, I’m particularly motivated by projects that connect plant science with emerging technologies. I enjoy working at the intersection of biology and data, where physiology meets algorithms, and where scientific insights turn into actionable strategies for growers, packinghouses, and postharvest systems. I’m currently focused on expanding my expertise in AI applications for agriculture, chemometrics, and predictive modeling, aiming to build innovative, data-driven tools for sustainable food systems.