Lirong Xiang

Bio

Dr. Xiang is the Principle Investigator of the Automation and Robotics Lab in the Biological and Agricultural Engineering Department at North Carolina State University. She received her Ph.D. degree in Agricultural and Biosystems Engineering from Iowa State University and her B.S. degree in Biosystems Engineering from Zhejiang University. Dr. Xiang works on agricultural robotics, 2D & 3D computer vision, and machine learning. During her Ph.D. program, she has developed robotic and automated systems for both indoor and in-field plant phenotyping applications. Dr. Xiang joined BAE in August 2022.

Publications

• Improved two-stage deep learning algorithm and lightweight YOLOv5n for classifying cottonseed damage , COMPUTERS AND ELECTRONICS IN AGRICULTURE (2025)
• CCHA YOLO for mycelium clamp connection (CC) and hyphae Autolysis (HA) detection under microscopy imaging and web deployment , MICROCHEMICAL JOURNAL (2024)
• Development of a bionic hexapod robot with adaptive gait and clearance for enhanced agricultural field scouting , FRONTIERS IN ROBOTICS AND AI (2024)
• Foundation models in smart agriculture: Basics, opportunities, and challenges , COMPUTERS AND ELECTRONICS IN AGRICULTURE (2024)
• High-Throughput Robotic Phenotyping for Quantifying Tomato Disease Severity Enabled by Synthetic Data and Domain-Adaptive Semantic Segmentation , JOURNAL OF FIELD ROBOTICS (2024)
• Optimizing Light Intensity and Salinity for Sustainable Kale (Brassica oleracea) Production and Potential Application in Marine Aquaponics , Sustainability (2024)
• Photorealistic Arm Robot Simulation for 3D Plant Reconstruction and Automatic Annotation using Unreal Engine 5 , 2024 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW (2024)
• Plant-Denoising-Net (PDN): A plant point cloud denoising network based on density gradient field learning , ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2024)
• Swin-Roleaf: A new method for characterizing leaf azimuth angle in large-scale maize plants , COMPUTERS AND ELECTRONICS IN AGRICULTURE (2024)
• Technical note: ShinyAnimalCV: open-source cloud-based web application for object detection, segmentation, and three-dimensional visualization of animals using computer vision , JOURNAL OF ANIMAL SCIENCE (2023)