Lirong Xiang
Papers
10
Total Citations
348
H-Index
7
About
Lirong Xiang is a pioneering researcher at the intersection of agricultural robotics, computer vision, and precision agriculture, whose work is reshaping how modern farming systems operate and how crops are studied at scale. With a body of research spanning autonomous navigation, high-throughput plant phenotyping, and artificial intelligence, Xiang has made substantial contributions to solving real-world agricultural challenges through intelligent automation. His most-cited work on depth-camera-based crop row detection for under-canopy robotic navigation (111 citations) demonstrates a practical breakthrough in autonomous agricultural vehicles, while his exploration of foundation models in smart agriculture (85 citations) positions him at the forefront of applying large-scale AI frameworks to farming systems. Xiang has also advanced UAV-based corn stand counting using convolutional neural networks (54 citations) and developed sophisticated robotic systems for measuring maize leaf angles using stereo vision and deep learning (50 citations). His automated phenotyping platforms, including the Robotic Assay for Drought system, further highlight his commitment to accelerating plant science research. Across legged field robots, photorealistic simulation environments, and robotic harvesters, Xiang's diverse portfolio reflects a researcher fundamentally transforming precision agriculture through interdisciplinary innovation.
Research Focus
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