Implementation of UAV-Based Lidar for High Throughput Phenotyping
| Autor: | Ayman Habib, Melba M. Crawford, Radhika Ravi, Magdy Elbahnasawy, Tamer Shamseldin, Yun-Jou Lin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Canopy 0211 other engineering and technologies Point cloud 02 engineering and technology 01 natural sciences Lidar Data acquisition 021105 building & construction Environmental science Lidar data Plant traits Throughput (business) 010606 plant biology & botany Remote sensing |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2018.8518439 |
| Popis: | High throughput phenotyping is rapidly gaining widespread popularity due to its ability to non-destructively extract plant traits, such as plant height, canopy density, leaf and plant structure, and so on. In this study, we focus on developing a UAV-based LiDAR system to acquire accurate time-series 3D point clouds for monitoring two specific plant traits - plant height and canopy cover - which are integral for enhancing crop genetic improvement to meet the needs of future generations. Furthermore, the obtained estimates are validated by comparing the results with those obtained from wheel-based LiDAR data. |
| Databáze: | OpenAIRE |
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