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dc.contributor.authorThompson, Alison
dc.contributor.authorThorp, Kelly
dc.contributor.authorConley, Matthew
dc.contributor.authorElshikha, Diaa
dc.contributor.authorFrench, Andrew
dc.contributor.authorAndrade-Sanchez, Pedro
dc.contributor.authorPauli, Duke
dc.date.accessioned2019-08-13T21:47:24Z
dc.date.available2019-08-13T21:47:24Z
dc.date.issued2019-03-23
dc.identifier.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.en_US
dc.identifier.issn2072-4292
dc.identifier.doi10.3390/rs11060700
dc.identifier.urihttp://hdl.handle.net/10150/633818
dc.description.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.en_US
dc.description.sponsorshipCotton Incorporated Research Grant [13-738]; United States Department of Agriculture-Agricultural Research Service [2020-21410-006-00D]en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.subjectcottonen_US
dc.subjectplant heighten_US
dc.subjecthigh-throughput phenotypingen_US
dc.subjectultrasonic transducersen_US
dc.subjectunmanned aerial systemsen_US
dc.subjectlight detection and rangingen_US
dc.titleComparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cottonen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Maricopa Agr Ctren_US
dc.contributor.departmentUniv Arizona, Sch Plant Scien_US
dc.identifier.journalREMOTE SENSINGen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.volume11
dc.source.issue6
dc.source.beginpage700
refterms.dateFOA2019-08-13T21:47:25Z


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