Yanlong Miao

China Agricultural University, Beijing Forestry University

Papers

Total Citations

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About

Yanlong Miao is a leading researcher in precision agriculture and plant phenotyping, specializing in the non-destructive sensing of crop water stress and 3D structural reconstruction. His work centers on integrating thermal infrared imaging, binocular stereovision, and LiDAR-based mapping to monitor plant health and morphology in real time. Miao’s major contributions include the development of a novel method for extracting the 3D distribution of the Crop Water Stress Index (CWSI) in potato plants, enabling precise, continuous detection of water status—a critical factor for irrigation optimization and crop breeding. This work, published in 2023, has already garnered 17 citations, reflecting its immediate impact on sustainable agriculture. Additionally, his 2024 study on RTMR-LOAM introduces a real-time maize 3D reconstruction framework using LiDAR odometry and mapping, achieving high-accuracy structural analysis for field crops. With 6 citations in its first year, this research advances automated phenotyping and digital agriculture. Miao’s innovative fusion of sensor technologies and algorithms offers scalable solutions for water-saving irrigation and crop monitoring, positioning him as a key contributor to next-generation agricultural robotics and precision farming.