High-Throughput Phenotyping of Plant Height: Comparing Unmanned Aerial Vehicles and Ground LiDAR Estimates
| Autor: | Stéphane Jezequel, Alexis Comar, Matthieu Hemmerlé, Benoit de Solan, Dan Dutartre, Gallian Colombeau, Simon Madec, Frédéric Baret, Scott Thomas |
|---|---|
| Přispěvatelé: | Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), ARVALIS - Institut du végétal [Paris], Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Hiphen Integrated Plant Phenotyping Systems |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
LiDAR phenotyping 010504 meteorology & atmospheric sciences Unmanned ground vehicle Mean squared error Point cloud dense point cloud Plant Science high throughput lcsh:Plant culture 01 natural sciences plant height water stress phénotypage Methods Structure from motion [SDV.BV]Life Sciences [q-bio]/Vegetal Biology lcsh:SB1-1110 Image resolution coefficient d'heritabilité biomasse aérienne 0105 earth and related environmental sciences Remote sensing Vegetal Biology hauteur de végétation Water stress maillage de points broad-sense heritability Lidar unmanned aerial vehicles génotype végétal optical radar Environmental science stress hydrique Digital surface Biologie végétale 010606 plant biology & botany |
| Zdroj: | Frontiers in Plant Science, Vol 8 (2017) Frontiers in Plant Science Frontiers in Plant Science, Frontiers, 2017, 8, pp.1-15. ⟨10.3389/fpls.2017.02002⟩ Frontiers in Plant Science (8), 1-15. (2017) |
| ISSN: | 1664-462X |
| DOI: | 10.3389/fpls.2017.02002/full |
| Popis: | The capacity of LiDAR and Unmanned Aerial Vehicles (UAVs) to provide plant height estimates as a high-throughput plant phenotyping trait was explored. An experiment over wheat genotypes conducted under well watered and water stress modalities was conducted. Frequent LiDAR measurements were performed along the growth cycle using a phénomobile unmanned ground vehicle. UAV equipped with a high resolution RGB camera was flying the experiment several times to retrieve the digital surface model from structure from motion techniques. Both techniques provide a 3D dense point cloud from which the plant height can be estimated. Plant height first defined as the z-value for which 99.5% of the points of the dense cloud are below. This provides good consistency with manual measurements of plant height (RMSE = 3.5 cm) while minimizing the variability along each microplot. Results show that LiDAR and structure from motion plant height values are always consistent. However, a slight under-estimation is observed for structure from motion techniques, in relation with the coarser spatial resolution of UAV imagery and the limited penetration capacity of structure from motion as compared to LiDAR. Very high heritability values (H2> 0.90) were found for both techniques when lodging was not present. The dynamics of plant height shows that it carries pertinent information regarding the period and magnitude of the plant stress. Further, the date when the maximum plant height is reached was found to be very heritable (H2> 0.88) and a good proxy of the flowering stage. Finally, the capacity of plant height as a proxy for total above ground biomass and yield is discussed. |
| Databáze: | OpenAIRE |
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