معرفی
Chen-Yi Lu is a Graduate Research Assistant at Purdue University's Department of Agricultural & Biological Engineering under Major Professor Chaterji. His research bridges digital agriculture and data science.
- University: Purdue University
- Department: Agricultural & Biological Engineering
- Advisor: Professor Somali Chaterji
His work focuses on applying artificial intelligence, machine learning, and Internet-of-Things (IoT) to agricultural systems. Key areas include automated pest monitoring, anomaly detection in animal behavior, and AI-driven decision-support tools for sustainable food production.
Recent publications highlight his expertise in deep learning for real-time agricultural monitoring systems, generative adversarial networks (GANs) for data augmentation, and AIoT-based solutions for pest management. His research spans interdisciplinary domains like computational modeling, sensor networks, and digital ecosystem design.
Chen-Yi Lu's contributions emphasize integrating scalable databases and machine learning with agricultural safety, automation, and environmental stewardship. Current projects involve optimizing data flow for precision agriculture and developing cloud/edge computing platforms to enhance rural disaster response systems.
