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Remote Sens. 2017, 9(4), 377; doi:10.3390/rs9040377

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

1
College of Engineering, University of Georgia, Athens, GA 30602, USA
2
College of Agricultural and Environmental Sciences and Franklin College of Arts and Science, University of Georgia, Athens, GA 30602, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Parth Sarathi Roy, Clement Atzberger and Prasad S. Thenkabail
Received: 26 January 2017 / Revised: 30 March 2017 / Accepted: 13 April 2017 / Published: 18 April 2017
View Full-Text   |   Download PDF [16212 KB, uploaded 18 April 2017]   |  

Abstract

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. View Full-Text
Keywords: precision agriculture; field robotics; LiDAR; high-throughput phenotyping; crop surface model; plant height precision agriculture; field robotics; LiDAR; high-throughput phenotyping; crop surface model; plant height
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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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.

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