My research focuses on space agriculture, smart agriculture, and digital twin technologies. During my PhD, I worked on space-agriculture systems, integrating digital twins, IoT sensing, machine learning, and related technologies to explore crop growth monitoring and yield prediction in space and extreme environments. My current research has further expanded to intelligent vineyard monitoring and disease recognition, with a focus on computer vision- and deep learning-based grape leaf disease detection, severity assessment, multi-leaf scene analysis, synthetic data robustness testing, and digital twin-enabled decision support.