In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR
AbstractA LiDAR-based high-throughput phenotyping (HTP) system was developed for cotton plant phenotyping in the field. The HTP system consists of a 2D LiDAR and an RTK-GPS mounted on a high clearance tractor. The LiDAR scanned three rows of cotton plots simultaneously from the top and the RTK-GPS was used to provide the spatial coordinates of the point cloud during data collection. Configuration parameters of the system were optimized to ensure the best data quality. A height profile for each plot was extracted from the dense three dimensional point clouds; then the maximum height and height distribution of each plot were derived. In lab tests, single plants were scanned by LiDAR using 0.5° angular resolution and results showed an R2 value of 1.00 (RMSE = 3.46 mm) in comparison to manual measurements. In field tests using the same angular resolution; the LiDAR-based HTP system achieved average R2 values of 0.98 (RMSE = 65 mm) for cotton plot height estimation; compared to manual measurements. This HTP system is particularly useful for large field application because it provides highly accurate measurements; and the efficiency is greatly improved compared to similar studies using the side view scan. View Full-Text
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Sun, S.; Li, C.; Paterson, A.H. In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR. Remote Sens. 2017, 9, 377.
Sun S, Li C, Paterson AH. In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR. Remote Sensing. 2017; 9(4):377.Chicago/Turabian Style
Sun, Shangpeng; Li, Changying; Paterson, Andrew H. 2017. "In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR." Remote Sens. 9, no. 4: 377.
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