In-Field High-Throughput Phenotyping of Cotton Plant Height Using LiDAR

Remote Sensing

Andrew H. Paterson¹  Shangpeng Sun²  Changying Li² 

[1] College of Agricultural and Environmental Sciences and Franklin College of Arts and Science, University of Georgia, Athens, GA 30602, USA;College of Engineering, University of Georgia, Athens, GA 30602, USA;

关键词: precision agriculture;    field robotics;    LiDAR;    high-throughput phenotyping;    crop surface model;    plant height;   

DOI  :  10.3390/rs9040377

来源: DOAJ

【 摘 要 】

A 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.

【 授权许可】

Unknown