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

• CCHA YOLO for mycelium clamp connection (CC) and hyphae Autolysis (HA) detection under microscopy imaging and web deployment , MICROCHEMICAL JOURNAL (2024)
• Foundation models in smart agriculture: Basics, opportunities, and challenges , COMPUTERS AND ELECTRONICS IN AGRICULTURE (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)
• A review of three-dimensional vision techniques in food and agriculture applications , SMART AGRICULTURAL TECHNOLOGY (2023)
• Early Detection of Rice Blast Using a Semi-Supervised Contrastive Unpaired Translation Iterative Network Based on UAV Images , PLANTS-BASEL (2023)
• Field-based robotic leaf angle detection and characterization of maize plants using stereo vision and deep convolutional neural networks , JOURNAL OF FIELD ROBOTICS (2023)
• Shinyanimalcv: Interactive Web Application for Object Detection and Three-Dimensional Visualization of Animals Using Computer Vision , JOURNAL OF ANIMAL SCIENCE (2023)
• Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection , PRECISION AGRICULTURE (2023)
• Synchronously Predicting Tea Polyphenol and Epigallocatechin Gallate in Tea Leaves Using Fourier Transform-Near-Infrared Spectroscopy and Machine Learning , MOLECULES (2023)