Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton
AffiliationUniv Arizona, Maricopa Agr Ctr
Univ Arizona, Sch Plant Sci
unmanned aerial systems
light detection and ranging
MetadataShow full item record
CitationThompson AL, Thorp KR, Conley MM, Elshikha DM, French AN, Andrade-Sanchez P, Pauli D. Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton. Remote Sensing. 2019; 11(6):700.
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AbstractPlant height is a morphological characteristic of plant growth that is a useful indicator of plant stress resulting from water and nutrient deficit. While height is a relatively simple trait, it can be difficult to measure accurately, especially in crops with complex canopy architectures like cotton. This paper describes the deployment of four nadir view ultrasonic transducers (UTs), two light detection and ranging (LiDAR) systems, and an unmanned aerial system (UAS) with a digital color camera to characterize plant height in an upland cotton breeding trial. The comparison of the UTs with manual measurements demonstrated that the Honeywell and Pepperl+Fuchs sensors provided more precise estimates of plant height than the MaxSonar and db3 Pulsar sensors. Performance of the multi-angle view LiDAR and UAS technologies demonstrated that the UAS derived 3-D point clouds had stronger correlations (0.980) with the UTs than the proximal LiDAR sensors. As manual measurements require increased time and labor in large breeding trials and are prone to human error reducing repeatability, UT and UAS technologies are an efficient and effective means of characterizing cotton plant height.
NoteOpen access journal
VersionFinal published version
SponsorsCotton Incorporated Research Grant [13-738]; United States Department of Agriculture-Agricultural Research Service [2020-21410-006-00D]