Comparing Nadir and Multi-Angle View Sensor Technologies for Measuring in-Field Plant Height of Upland Cotton
Autor: | Duke Pauli, Kelly R. Thorp, Andrew N. French, Pedro Andrade-Sanchez, Diaa M El-Shikha, Matthew M. Conley, Alison L. Thompson |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0106 biological sciences
Canopy 010504 meteorology & atmospheric sciences Science Point cloud Ranging light detection and ranging Repeatability unmanned aerial systems 01 natural sciences cotton Field (geography) plant height Lidar high-throughput phenotyping ultrasonic transducers Nadir General Earth and Planetary Sciences Environmental science Ultrasonic sensor 010606 plant biology & botany 0105 earth and related environmental sciences Remote sensing |
Zdroj: | Remote Sensing; Volume 11; Issue 6; Pages: 700 Remote Sensing, Vol 11, Iss 6, p 700 (2019) |
ISSN: | 2072-4292 |
DOI: | 10.3390/rs11060700 |
Popis: | Plant 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. |
Databáze: | OpenAIRE |
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