Luyao Ma

Oregon State University, Guilin University of Technology

Papers

Total Citations

H-Index

About

Luyao Ma is a researcher at the intersection of artificial intelligence, food engineering, and environmental monitoring. Their work focuses on integrating machine learning, optical sensors, and robotics to revolutionize food quality assessment and processing. Ma’s most cited paper (2025, 19 citations) introduces a non-destructive framework that leverages machine learning to extract critical features from high-dimensional optical sensor data, overcoming the limitations of traditional, labor-intensive methods and enabling real-time decision-making for food quality. This contribution has significant implications for reducing waste and improving safety in the food industry. Additionally, Ma developed the YOLOv7-GCM algorithm (2024, 6 citations), an improved object detection model for identifying creek waste, demonstrating versatility in applying AI to environmental challenges. By combining deep learning with practical sensing technologies, Luyao Ma is advancing both sustainable food processing and automated environmental monitoring, making their work highly relevant for researchers in precision agriculture, robotics, and smart manufacturing.